<p>Job Description:</p><p><strong>Position: Data Architect</strong></p><p><strong>Location: Jersey City, NJ (Hybrid)</strong></p><p><br></p><ul><li>Senior Data Analytics architect needed with AWS full stack data analytics experience good exp in Snowflake Good architecture design experience leveraging Data fabric mesh Good knowledge on building semantic tools Denodo Dremio Good experience on Data federation virtualization</li><li>Building key risk technology components</li><li>Interfacing with senior stakeholders in Risk Management and across the firm to gather requirements and resolve issues</li><li>Contributing ideas and industry best practices to the wider Risk Technology group as part of design discussions and incident reviews</li></ul><p><br></p><p>Essential Experience Skills</p><ul><li></li><li>Expertise in building interactive dashboards data visualization and reporting solutions</li><li>Proficiency in front end technologies such as Angular or React or similar</li><li>Deep expertise in Java Python or similar programming language with experience building production applications</li><li>Strong knowledge of SQL and largescale data modeling processing and storage utilizing modern columnar and relationship databases like Oracle Snowflake and AWS RedShift</li><li>Experience in developing cloud based loosely coupled event driven microservices using serverless technologies preferably on AWS</li><li>Knowledge of modern SDLC tooling including Git Bamboo and Jira</li><li>Experience in risk analytics market risk or credit risk</li><li>Bachelors degree preferably in Computer Science Engineering Mathematics or similar technical discipline</li></ul><p></p>

Description:

?Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
Submit candidates under tpersonir legal name and use only Capgemini template?
PLEASE SUBMIT CVS IN FG WITH COMPLETE HOME ADDRESS

Role Name: 14756312 - Databricks & Azure Data Platform Principal Engineer
Location: / JERSEY CITY / Client
Start date: 2/17/2025
Background check MANDATORY
Request ID (R2D2): 14756312

?Due to additional onboarding requirements, a meet and greet is required for all new hires. Candidates must be willing to go to tperson closest Capgemini, Client, or onsite location as indicated by project team to meet with a Capgemini team member prior starting their assignment. If tperson candidate is not local, travel covered by Capgemini. If travel is involved and after selection tperson candidate declines tperson offer, costs will be paid by vendor and not Capgemini.?

JOB DESCRIPTION:

A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies. This principal engineer oversees tperson architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. Also, responsible for managing tperson platform effectively with automation and leverage emerging capabilities in tperson marketplace. It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics machine learning models. This engineer ensures modern best practices are developed and adpersoned to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system reliability.?

Current Location: (City, State & Zip Code):
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If not indicate # of layers and name of tperson company:
Indicate if tperson Candidate has worked in CG before and project details along with manager's name:
Ex-Capgemini Employee:
LinkedIn Account: (MANDATORY)
Time slots for an interview (consider 3 to 5 days of availability for faster coordination):
Contractor approved to share its resume to client:
Skills summary:

Resumes will be rejected for tperson following reasons:
- Different format
- Missing details in comments section
-Missing text box in tperson personader
-Photo ID included containing personal information otperson than legal name and photo
*Only visas accepted are H1B, L2 EAD, H4 EAD, AOS EAD. Permanent residents and green card holders. TN visas only if tperson contractor lives in US. (if CTH role, only USC and GC holders)

Renata Abigail De Anda
External Resource Manager (ERM) | SubCo Staffing Center
Capgemini North America | Guatemala
Named Job Posting? (if Yes - needs to be approved by SCSC)
Additional Details
Global Grade : D
Named Job Posting? (if Yes - needs to be approved by SCSC) : No
Remote work possibility : No
Global Role Family : 60230 (P) Finance
Global Technical Skills Family : 6264 (T) Otperson Financial Solutions
Local Role Name : Databricks & Azure Data Platform Principal Engineer
Local Skills : Enter detailed local skills if needed
Languages Required: : English

Description

We are seeking a highly skilled and experienced Senior Cloud Architect & Sustainability Data Engineer with a strong background in cloud computing (AWS, Azure), data engineering, and sustainability analytics. This role blends environmental sustainability expertise with advanced data architecture to develop scalable, secure, and high-performance cloud-based sustainability solutions. The successful candidate will lead efforts in sustainability data integration, ESG reporting, and AI-driven environmental insights, ensuring compliance with global environmental and data privacy regulations.
Key Responsibilities
Cloud Architecture & Sustainability Data Management
Design, implement, and manage cloud-based sustainability analytics platforms on AWS and Azure.
Architect highly available, scalable, and secure cloud solutions for ESG reporting, carbon accounting, and environmental impact analysis.
Develop data lakes and warehouses to manage and process large-scale environmental and climate datasets.
Implement ETL pipelines using tools like Databricks, Spark, Airflow, and Data Factory for sustainability data ingestion and transformation.
Work with cloud-native databases (Oracle, Redshift, Teradata, Cosmos, NoSQL) to store and analyze sustainability data.
Sustainability Analytics & ESG Data Visualization
Leverage advanced analytics tools such as Power BI, Qlik, Tableau, and GIS mapping to create visual dashboards for sustainability reporting.
Utilize machine learning models (TensorFlow, PyTorch, Dataiku, Gen AI) to develop predictive models for climate risk, carbon footprint reduction, and energy efficiency optimization.
Build interactive ESG performance scorecards to track corporate sustainability initiatives.
Apply AI/ML methodologies (NLP, ML/Ops) to extract insights from unstructured environmental data sources.

<h3>Job Description</h3><div>Job Description<div><p>Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.</p><p>If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Data Architect to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.</p><p><strong>Responsibilities</strong><br /></p><ul><ul><li>Develop and maintain comprehensive data architecture blueprints that align with business objectives and regulatory requirements.</li><li>Design scalable and efficient data models, schemas, and pipelines within the Snowflake data warehouse platform.</li><li>Collaborate with stakeholders to gather requirements and translate them into technical specifications for Snowflake-based solutions.</li><li>Implement data governance and security measures to ensure data integrity, privacy, and compliance.</li><li>Optimize Snowflake performance through query optimization, indexing strategies, and resource utilization monitoring.</li><li>Lead the evaluation and adoption of new Snowflake features and technologies to enhance data management capabilities.</li></ul></ul><p><strong>Requirements</strong></p><ul><ul><li>10+ years of experience as a Data Architect or similar role, with a strong focus on designing and implementing data solutions using Snowflake.</li><li>In-depth knowledge of Snowflake architecture, including data storage, virtual warehouses, and data sharing functionalities.</li><li>Proficiency in SQL and experience with scripting languages (e.g., Python, SQL) for data manipulation and automation.</li><li>Strong understanding of data integration concepts and tools (e.g., ETL/ELT processes, streaming data pipelines).</li><li>Experience with AWS cloud and familiarity with Snowflake's integration capabilities with cloud services.</li><li>Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data.</li><li>Collaborate with data engineers, analysts, and business users to support data visualization, reporting, and analytics initiatives.</li><li>Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders</li></ul></ul><p><strong>Benefits</strong></p><p>Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><p>Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.</p><p>If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.</p><ul><li>Mentorship and solution support to client-facing Data Engineers across key accounts<ul><li>Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction</li><li>Work with the DevOps, MLE team to onboard and productionize Data Science models at scale.</li><li>Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.</li><li>Coordinate between onsite and offshore leadership for regular updates</li></ul></li><li>Engage key client stakeholders to <ul><li>Review and provide the best solutions on the existing or new architecture requirements.</li><li>Recommend strategies to improve resiliency, security, and optimize costs.</li><li>Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions.</li><li>Design and develop scalable data ingestion frameworks to transform a variety of datasets, capture metadata, lineage and implement data quality</li></ul></li></ul><p><strong>Requirements</strong></p><ul><li>Bachelor’s degree in Computer Science/or any relevant experience in Information systems.</li><li>10 years of experience in the IT field with hands-on experience in system administration and automation</li><li>3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud.</li><li>1+ years of experience with deploying services on Kubernetes on-prem or on-cloud</li><li>3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala).</li><li>1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery)</li><li>Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc.</li><li>Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other</li><li>Knowledge of delta lake or similar technology </li><li>Exposure to operationalizing ML models @ scale on Cloud</li><li>Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud</li><li>Must understand the Scrum Agile methodology and have worked on a Scrum team.</li><li>Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores</li><li>Good experience working on an onsite/offshore model</li></ul><ul><li>Knowledge of networking, firewalls, load balancers, etc.</li></ul><ul><li>AWS Professional Architect Certification is preferred</li></ul><ul><li>Exceptional communication skills and the ability to communicate appropriately with executives and technical teams.</li></ul><p><strong>Benefits</strong></p><p>Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</p></div></div>

Job DescriptionJob Description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Data Architect to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

Develop and maintain comprehensive data architecture blueprints that align with business objectives and regulatory requirements.

Design scalable and efficient data models, schemas, and pipelines within the Snowflake data warehouse platform.

Collaborate with stakeholders to gather requirements and translate them into technical specifications for Snowflake-based solutions.

Implement data governance and security measures to ensure data integrity, privacy, and compliance.

Optimize Snowflake performance through query optimization, indexing strategies, and resource utilization monitoring.

Lead the evaluation and adoption of new Snowflake features and technologies to enhance data management capabilities.

Requirements

10+ years of experience as a Data Architect or similar role, with a strong focus on designing and implementing data solutions using Snowflake.

In-depth knowledge of Snowflake architecture, including data storage, virtual warehouses, and data sharing functionalities.

Proficiency in SQL and experience with scripting (e.g., Python, SQL) for data manipulation and automation.

Strong understanding of data integration concepts and tools (e.g., ETL/ELT processes, streaming data pipelines).

Experience with AWS cloud and familiarity with Snowflake's integration capabilities with cloud services.

Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data.

Collaborate with data engineers, analysts, and business users to support data visualization, reporting, and analytics initiatives.

Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The anticipated salary range for this role is between $142,000.00 and $196,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Role Description

The Data Architect is a part of the Data Management's Design & Development group within JRI-A and is responsible for designing, building, deploying, and maintaining the Data Services Layer using the Denodo development tool.

SCOPE

The Data Architect designs, develops, maintains, and supports the data virtualization solutions for the Data Services Layer using Denodo. The incumbent will have expertise in leveraging Denodo to deliver enterprise-wide data access while integrating seamlessly with Azure-based platforms. This role involves working closely with cross-functional teams to create scalable and secure data solutions that support business objectives. Reports to the Team Leader. Has no direct/indirect reports.

Takes full ownership of one or more projects primarily focused on developing integration solutions for multiple projects. This role executes deliverables with minimal supervision applying standard operating procedures as well as technical expertise to unique sets of facts, refers more complex matters to supervisors or other experienced staff.

Role Objectives

The job responsibilities are described herein:

Performs analysis and design of the business requirements and specifications as required.
Design, Develop, and deploy Denodo data virtualization solutions.
Create, and manage data views, performance optimizations, and caching strategies.
Works with various application team members to obtain the requirements for their development work.
Configure Denodo to integrate with various data sources, including relational databases, cloud platforms, and APIs.
Ensure security, scalability, and performance of Denodo in a cloud-based environment.
Leverage Azure services like ADF and Databricks to enable seamless data integration.
Creates documentation for the processes that they developed as well as updates documentation for the processes that they modified.
Performs peer code reviews including verification of compliance with coding standards and ensures that the code they developed adheres to coding standards and functional / technical specifications.
Implement data security, governance, and
Coordinates code promotion activities through all SDLC environments and validates that promoted interface code is working as expected.
Assists QA team with identifying QA test cases and supports them during QA testing.
Updates team leader and project manager with status of assigned development/project work.
Troubleshoots production issues independently and assists in timely resolution of incidents.
Supports weekend maintenance, technology / business recovery tests and system verification / validation events.
Keeps up to date on new features and enhancements in the development tools used by the team.

Qualifications and Skills

Education:  Bachelor's degree in computer science, Information Technology, or a related field.

Experience:
5+years of hands-on experience with Denodo platform.
Strong experience with Azure cloud services (Azure Data Factory, Databricks, etc.)
Experience in data integration, data modeling, and SQL development.
Proficiency in SQL, JDBC, ODBC, and other data connection protocols.
Familiarity with REST APIs, SOAP services, and web service integrations.

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

Sound knowledge of AWS Services ( S3, EC2, Redshift , Lamda) , GCP Services ( Cloud Functions, GCS, Scheduler, Big query, Alerts, Pub-Sub, IAM ) , Control-M, SQL and Python
Fair knowledge of Unix , Tableau
Good to have knowledge of Snowflake, DOMO and Looker
Domain knowledge of Digital marketing data like Social Media is helpful
Can work with Product Owner to define data strategy and roadmap
Evaluate the right set of tools, platform, methodologies and processes to meet business requirements
Communicate the architecture to the stakeholders and collaborate with existing domain architects in the formalization and adoption of IT standards and procedures
Design and build robust, high-performance, and adaptable solution optimal for modern platform (Relational/SQL/OLAP) with ability to integrate technical functionality
Has good understanding of Service oriented architecture ,Data architecture and modelling
Can mentor other team members, promote new ideas and innovative solutions
Work together with technical resources from multiple vendors to ensure that system design adequately captures business requirements
Foster a client-centric approach to project delivery, ensuring teams and clients are adopting agile practices where applicable, while respecting the constraints of the client

Job DescriptionJob Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Mentorship and solution support to client-facing Data Engineers across key accounts

Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction

Work with the DevOps, MLE team to onboard and productionize Data Science models at scale.

Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.

Coordinate between onsite and offshore leadership for regular updates

Engage key client stakeholders to

Review and provide the best solutions on the existing or new architecture requirements.

Recommend strategies to improve resiliency, security, and optimize costs.

Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions.

Design and develop scalable data ingestion frameworks to transform a variety of datasets, capture metadata, lineage and implement data quality

Requirements

Bachelor’s degree in Computer Science/or any relevant experience in Information systems.

10 years of experience in the IT field with hands-on experience in system administration and automation

3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud.

1+ years of experience with deploying services on Kubernetes on-prem or on-cloud

3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming (like Python, Java, Scala).

1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery)

Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc.

Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other

Knowledge of delta lake or similar technology

Exposure to operationalizing ML models @ scale on Cloud

Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud

Must understand the Scrum Agile methodology and have worked on a Scrum team.

Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores

Good experience working on an onsite/offshore model

Knowledge of networking, firewalls, load balancers, etc.

AWS Professional Architect Certification is

Exceptional communication skills and the ability to communicate appropriately with executives and technical teams.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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