We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *
This is an onsite position in Plano, TX open to any qualified applicant in the United States
Job Title: Azure Data Architect (Onsite)
Job Summary
We are seeking a highly experienced Principal Architect with 20 to 24 years of experience to join our team. The ideal candidate will have extensive expertise in Azure Architecture and Azure. This role involves leading the design and implementation of complex cloud solutions ensuring they align with business objectives and industry best practices. The Principal Architect will play a crucial role in driving innovation and efficiency within our organization.
Responsibilities
* Lead the design and implementation of complex cloud solutions using Azure Architecture.
* Oversee the development of architectural blueprints and detailed documentation.
* Provide technical guidance and mentorship to engineering teams.
* Ensure that cloud solutions align with business objectives and industry best practices.
* Collaborate with stakeholders to understand and translate business requirements into technical solutions.
* Drive innovation and efficiency within the organization by leveraging Azure services.
* Conduct regular reviews of cloud architecture to ensure optimal performance and scalability.
* Identify and mitigate potential risks associated with cloud deployments.
* Stay updated with the latest trends and advancements in Azure technologies.
* Facilitate knowledge sharing and best practices across the organization.
* Ensure compliance with security and regulatory standards in all cloud solutions.
* Optimize cloud infrastructure for cost-effectiveness and performance.
* Lead the evaluation and selection of third-party tools and services to enhance cloud capabilities.

Qualifications
* Possess extensive experience in Azure Architecture and Azure.
* Demonstrate strong problem-solving and analytical skills.
* Exhibit excellent communication and collaboration abilities.
* Show proficiency in designing and implementing scalable cloud solutions.
* Have a deep understanding of cloud security and compliance requirements.
* Display a track record of driving innovation and efficiency in cloud environments.
Certifications Required
Microsoft Certified: Azure Solutions Architect Expert
Salary and Other Compensation:
Applications will be accepted until March 28, 2025.
The annual salary for this position is between $180,000 - $185,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
* Medical/Dental/Vision/Life Insurance
* Paid holidays plus Paid Time Off
* 401(k) plan and contributions
* Long-term/Short-term Disability
* Paid Parental Leave
* Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
#LI-EV1 #CB #Ind123

<h3>Job Description</h3><div>Job Description<div>Who we are:Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. Job Description: Job Title : MongoDB Data Architect Azure, Oracle, and NoSQL (Telecom)Job Type : W2Experience : 8 to 10 yearsLocation : Plano, TexasResponsibilities: <ul><li>5+ years of experience in data modeling and database management.</li><li>3+ years of experience with MongoDB data modeling and design.</li><li>2-3 years of experience with Azure cloud services.</li><li>3+ years of experience with Oracle databases.</li><li>Knowledge of LDAP, Cassandra, and data flow components.</li><li>Telecom domain experience is highly preferred.</li><li>Strong understanding of data architecture and data management principles.</li><li>Proficiency in SQL and NoSQL database technologies.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and collaboration abilities.</li><li>Experience with data migration from legacy systems to MongoDB.</li><li>Familiarity with ETL processes and data transformation.</li><li>Experience in scripting and automation (Python, Shell scripting, etc.).</li><li>Knowledge of data governance and compliance standards.</li><li>Take ownership of end-to-end data modeling processes on MongoDB, ensuring data integrity and performance optimization.</li><li>Develop and maintain scalable and efficient data models to meet business requirements.</li><li>Collaborate with cross-functional teams to design data models based on project requirements and best practices.</li><li>Utilize Azure cloud services for data storage, processing, and management.</li><li>Manage data integration between MongoDB, Oracle, LDAP, and Cassandra.</li><li>Understand and implement data flow components as outlined in the target architecture.</li><li>Optimize data models to ensure performance, scalability, and security.</li><li>Conduct performance tuning and troubleshooting for data model issues.</li><li>Create and maintain data documentation, including data models and data flow diagrams.</li><li>Stay up-to-date with the latest trends and best practices in data modeling and database technologies.</li></ul><div>Qualification:</div><div><ul><li>Bachelor's degree in computer science, information systems, or related field.</li></ul></div></div></div>

Position:  Data Architect / Modeler
Location:  Plano, TX
Job Description:
Design and implement data architecture and modeling solutions across relational, dimensional, and NoSQL databases to support enterprise information management, BI, ML, and data science. Develop conceptual, logical, and physical data models, and oversee RDBMS, ODS, data marts, and data lakes. Optimize data query performance and govern data architecture expansion.
Responsibilities:
Implement data strategies across various platforms and tools (SQL, NoSQL, reporting, analytics, ML).
Collaborate with business and tech teams to develop data flows and models.
Define data modeling standards and best practices for enterprise models.
Manage data architecture, security, and interfaces for automated data loads and visualization tools.
Perform hands-on modeling, design, configuration, performance tuning, and POC development.
Lead data product development and integration across applications and external sources.
Skills:
Bachelor's/Master's in computer/data science or related field.
Hands-on experience with RDBMS, NoSQL, data warehouse, and big data platforms.
Proficient in data modeling techniques (e.g., Data Vault, Star Schema).
Experience with metadata management tools (e.g., Erwin, ER Studio).
Strong team leadership, communication, and presentation skills.

Position: Data Architect / ModelerLocation: Plano, TXJob Description:Design and implement data architecture and modeling solutions across relational, dimensional, and NoSQL databases to support enterprise information management, BI, ML, and data science. Develop conceptual, logical, and physical data models, and oversee RDBMS, ODS, data marts, and data lakes. Optimize data query performance and govern data architecture expansion.Responsibilities:<ul><li>Implement data strategies across various platforms and tools (SQL, NoSQL, reporting, analytics, ML).</li><li>Collaborate with business and tech teams to develop data flows and models.</li><li>Define data modeling standards and best practices for enterprise models.</li><li>Manage data architecture, security, and interfaces for automated data loads and visualization tools.</li><li>Perform hands-on modeling, design, configuration, performance tuning, and POC development.</li><li>Lead data product development and integration across applications and external sources.</li></ul>Skills:<ul><li>Bachelor's/Master's in computer/data science or related field.</li><li>Hands-on experience with RDBMS, NoSQL, data warehouse, and big data platforms.</li><li>Proficient in data modeling techniques (e.g., Data Vault, Star Schema).</li><li>Experience with metadata management tools (e.g., Erwin, ER Studio).</li><li>Strong team leadership, communication, and presentation skills.</li></ul>

Job Title: Data Architect
Location: Plano, TX
100% Onsite role
Job Type: Contract; 3 months contract

Primary skillset:
Data Vault, Data modelling, AWS, Terraform.

Responsibilities:      Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Experience leading a team that builds a set of data products to be used by downstream business applications.
Ability to understand and apply different patterns to ingest, process & integrate data across applications and from external parties.
Being able to create relational and non-relational data structures in both SQL and non-SQL databases and Data Integration patterns.

Skills:     Bachelor's or master's degree in computer/data science technical or related experience.
7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Experience with data modeling techniques such as Data Vault and Start Schema
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Experience in team management, communication, and presentation.

Responsibilities
Own the design and implementation of Microsoft Fabric architectures to support sophisticated analytics and data processing requirements
Be responsible for the development and optimization of MS Fabric Job Definitions to ensure efficient data processing and transformation.
Design the OneLake to handle and integrate diverse data sources into a unified data platform.
Develop and maintain SQL queries and scripts to support data extraction transformation and loading processes.
Apply PySpark to build scalable data pipelines and perform complex data transformations.
Collaborate with multi-functional teams to understand business requirements and translate them into technical solutions.
Ensure data quality and integrity by implementing robust data validation and cleansing processes.
Monitor and fix data processing workflows to ensure optimal performance and reliability.
Mentor and guide junior team members in standard methodologies for data architecture and engineering.
Provide technical leadership in the domain of Healthcare and Health Plan domains demonstrating domain knowledge to enhance data solutions.
Contribute to the development of data governance policies and procedures to ensure compliance with regulatory requirements.
Communicate effectively with stakeholders to present technical solutions and gather feedback
Requirements :    12+ years of experience in implementing large data and analytics platforms
5+ years of experience architecting and building data platforms on Azure
Hands-on experience with cloud data platforms such as Azure Synapse Analytics, Azure Databricks, or Microsoft Fabric.
Ability to architect, implement, and optimize data workflows and pipelines on these platforms.
In-depth understanding of data engineering principles, data architecture, and data management practices.
Proficiency in designing and implementing scalable data solutions.
Exhibit strong to expert skills in PySpark for building scalable data pipelines
Demonstrate proficiency in developing and optimizing Spark job definitions
Have in-depth knowledge of OneLake for data integration and management
Show expertise in writing and optimizing SQL queries and scripts
Understanding of data modelling, data mappings, understand the data model changes and propose the best practices and guidelines
Experience in Healthcare or Health Plans is a plus
Strong problem-solving skills and attention to detail

W2 Role Long Term Contract Top three skill sets: Predictive modeling, Advanced Analytics, Communication/Collaboration Role & Responsibilities •Data Analysis & Insights: - Analyze large, complex datasets to identify smartphone market trends, patterns, and opportunities for * (Sell-In, Sell-Out, Installed base, switching/churn) - Ensure the quality and integrity of data for analysis and reporting - Develop dashboards, reports, and visualizations to communicate insights to stakeholders effectively. - Perform root-cause/scenario analyses and recommend data-driven solutions. - Monitor key performance indicators (KPIs), develop targets and suggest strategies to improve results •Predictive Modeling & Machine Learning: - Design and implement predictive models to forecast smartphone market demand (TAM, in volume and revenue) - Assess the significance and impact of individual variables (macroeconomics variables, new model launches, holidays and others) on predictive outcomes, providing actionable insights to business stakeholders - Leverage machine learning algorithms to build robust models that optimize accuracy and scalability - Interpret and explain the contribution of key variables to predictions, helping teams understand drivers of growth or decline. •AI-Powered Automation and Process Improvement: - Identify opportunities to implement AI-driven solutions to automate manual processes and improve efficiency. - Develop and deploy machine learning models and AI tools to optimize workflows and enhance scalability. - Conduct market analysis and competitor benchmarking to support business planning. Minimum Qualifications •Bachelor's or Master's degree; preferably in data science, business analytics, computer science, statistics or a related field. •Proven experience in strategy consulting, product management, marketing, business analytics, business planning, and strategy development is preferred •Proficiency in MS excel/powerpoint, Python, R, SAS or similar tools for data analysis and automation •Strong business ability to interpret technical findings in a business context •Excellent communication skills to present complex insights to non-technical stakeholders Preferred Qualifications: •Experience in deploying AI solutions into production environments •Strong understanding of macroeconomics, with the ability to analyze and integrate economic indicators (e.g., Fed rate, inflation rate, GDP, unemployment rate) into predictive models •Demonstrated ability to connect economic trends with business insights to inform strategic decision-making •Experience in mobile/telecom industry is highly desired

Pay rate range - $60/hr. to $63/hr. on W2
Job schedule: Hybrid 4 days in office/1 day WFH

Top three skill sets:
Predictive modeling, Advanced Analytics, Communication/Collaboration

Role & Responsibilities
•Data Analysis & Insights:
- Analyze large, complex datasets to identify smartphone market trends, patterns, and opportunities for Client (Sell-In, Sell-Out, Installed base, switching/churn)
- Ensure the quality and integrity of data for analysis and reporting
- Develop dashboards, reports, and visualizations to communicate insights to stakeholders effectively.
- Perform root-cause/scenario analyses and recommend data-driven solutions.
- Monitor key performance indicators (KPIs), develop targets, and suggest strategies to improve results

•Predictive Modeling & Machine Learning:
- Design and implement predictive models to forecast smartphone market demand (TAM, in volume and revenue)
- Assess the significance and impact of individual variables (macroeconomics variables, new model launches, holidays, and others) on predictive outcomes, providing actionable insights to business stakeholders
- Leverage machine learning algorithms to build robust models that optimize accuracy and scalability
- Interpret and explain the contribution of key variables to predictions, helping teams understand drivers of growth or decline.
•  AI-Powered Automation and Process Improvement:
- Identify opportunities to implement AI-driven solutions to automate manual processes and improve efficiency.
- Develop and deploy machine learning models and AI tools to optimize workflows and enhance scalability.

•Business Strategy & Collaboration:
- Collaborate with cross-functional teams to define business problems and translate them into analytical solutions.
- Provide strategic recommendations based on data analysis to improve operations, customer experience, and revenue growth.
- Conduct market analysis and competitor benchmarking to support business planning.

Minimum Qualifications
•Bachelor's or Master's degree; preferably in data science, business analytics, computer science, statistics or a related field.
•Proven experience in strategy consulting, product management, marketing, business analytics, business planning, and strategy development is preferred
•Proficiency in MS excel/PowerPoint, Python, R, SAS or similar tools for data analysis and automation
•Strong business ability to interpret technical findings in a business context
•Excellent communication skills to present complex insights to non-technical stakeholders

Preed Qualifications:
•Experience in deploying AI solutions into production environments
•Strong understanding of macroeconomics, with the ability to analyze and integrate economic indicators (e.g., Fed rate*** inflation rate*** GDP, unemployment rate) into predictive models
•Demonstrated ability to connect economic trends with business insights to inform strategic decision-making
•Experience in the mobile/telecom industry is highly desired

<h3>Job Description</h3><div>Job Description<div>Job Title: Data Architect/Big Data ArchitectLocation: Plano, TX - HybridLocation: 6 monthsJob Description:<ul><li>Architectural Leadership: Lead the architecture, design, and development of big data streaming systems and business data consolidation based on business priorities and cost optimization.</li><li>IoT System Design: Design IoT systems to facilitate communication and data movement between vehicles and the cloud.</li><li>Technology Utilization: Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing.</li><li>Team Leadership: Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution.</li><li>Technical Direction and Roadmaps: Set technical direction and roadmaps, guiding the evolution of our data systems to meet future business needs.</li><li>Application Architecture: Collaborate on application architecture and deep understanding of cloud data applications.</li><li>Vision and Roadmap Development: Develop, communicate, and advocate for the long-term technical vision and roadmap for data storage, ingestion, and retrieval in collaboration with technical leads.</li><li>Strategic Vision for Data Integration: Drive the technical and strategic vision for our data platform and work closely with the infrastructure team to meet current and future scalability and interoperability needs.</li></ul>Qualifications:<ul><li>10+ years of hands-on industry experience in data architecture or software engineering.</li><li>3+ years of experience architecting solutions for big data environments.</li><li>Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag, MQTT, and gRPC.</li><li>Proven experience in architecting streaming, real-time, and near real-time data pipelines using tools like Spark or Kafka.</li><li>Working knowledge of data lake architectures with Parquet and HCatalog.</li><li>Ability to cultivate a strong sense of ownership and build a culture of accountability within the team.</li><li>Openness to new ideas and the ability to evaluate multiple approaches, selecting the best based on fundamental qualities and supporting data.</li><li>Exceptional communication skills to articulate highly technical problems and solutions to diverse audiences, from engineers to executive leadership.</li><li>Proven track record of setting technical vision and delivering results in a collaborative, cross-functional environment.</li></ul><div></div><div>Keywords: Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, MQTT, Data Lake </div></div></div>

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Data Architect Jobs in Plano, TX

Azure Data Architect OnsiteMarch 11, 2025

Mongodb Data Architect Azure Oracle And Nosql TelecomMarch 11, 2025

Data ArchitectMarch 8, 2025

Data ArchitectMarch 6, 2025

Data ArchitectFebruary 25, 2025

Microsoft Fabric Data ArchitectFebruary 25, 2025

Data ArchitectFebruary 24, 2025

Data Architect 2February 24, 2025

Data Architectbig Data ArchitectFebruary 15, 2025