Job Summary The Data Architect will be responsible for designing, creating, deploying, and managing the organization's data architecture, ensuring optimal data integration, storage, and analysis capabilities. This role works closely with data engineers and analysts to develop scalable data pipelines and analytical tools that empower decision-making processes. The ideal candidate will combine deep technical expertise with a strategic mindset to drive data-driven initiatives across the organization. Key Responsibilities •Data Architecture Design: Develop and maintain an end-to-end data architecture strategy, ensuring scalability, security, and alignment with business goals. •Data Engineering: Lead the design and implementation of robust, scalable, and efficient data pipelines to ingest, process, and store data from diverse data sources. •Data Modelling: Create and maintain conceptual, logical, and physical data models to support databases, data warehouses, and data lakes. •Data Integration: Implement and oversee ETL (Extract, Transform, Load) processes for seamless integration of structured and unstructured data from multiple sources. •Data Analysis: Collaborate with data analysts to ensure data accessibility and deliver actionable insights from business data. Develop architecture that supports advanced analytics, reporting, and machine learning use cases. •Data Governance: Implement and enforce best practices for data governance, data quality, and data stewardship, ensuring compliance with privacy regulations (e.g., GDPR, CCPA). •Data Performance Optimization: Monitor and optimize data systems to ensure high availability, reliability, and performance. •Data Warehousing: Oversee the design and maintenance of data warehouses and data lakes to support analytical queries and real-time reporting. •Data Security & Compliance: Ensure the data architecture adheres to data security protocols and industry standards, implementing encryption, masking, and other privacy measures. •Collaboration: Work closely with data engineers, analysts, business stakeholders, and IT teams to define data needs, data flow, and analytics requirements. •Data Tooling: Identify and recommend tools and technologies for data management, analysis, and reporting, based on current trends and business needs. •Documentation: Prepare comprehensive documentation for data architecture, processes, and workflows, ensuring clear communication between teams. •Problem Solving: Lead troubleshooting efforts for data-related issues, providing strategic solutions that support long-term goals. Required Experience •10+ years of experience in data architecture, data engineering, or data management. •Strong experience in building and optimizing data pipelines, architectures, and data sets. •Proven experience in data modelling, database design, and data integration. •Experience with both structured (SQL) and unstructured (NoSQL, Hadoop) data management. •Demonstrated experience in data analysis and delivering data-driven insights to stakeholders. •Experience with cloud platforms for data management (e.g., AWS, Azure, Google Cloud). •Knowledge of data governance and compliance frameworks. Technical Skills •Proficiency with ETL tools (e.g., Talend, Informatica) and data pipeline orchestration frameworks (e.g., Apache Airflow, AWS Glue). •Strong SQL and Python programming skills. •Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and big data technologies (e.g., Hadoop, Spark). •Familiarity with data analysis and visualization tools (e.g., Tableau, Power BI, Looker). •Experience with advanced analytics and machine learning platforms is a plus. •Knowledge of data lake architecture and working with real-time streaming data solutions (e.g., Kafka, Kinesis) is highly desirable. Preferred Qualifications •Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. •Strong problem-solving and analytical thinking with experience in delivering strategic data solutions. •Excellent communication skills to interact with both technical and non-technical stakeholders. •Experience with Agile methodologies and data engineering best practices. Certifications •AWS Certified Solutions Architect •Google Cloud Professional Data Engineer •Microsoft Certified Azure Data Engineer Education: Bachelors Degree

Job Summary We are seeking an experienced Data Architect to support the expansion of a foundational data model that underpins interactive PowerBI dashboards. This role will focus on ensuring performance, security, and scalability while enabling a cohesive and flexible user experience. The Data Architect will work under the Product Manager to develop consistent metrics and data across all dashboards, helping drive key business decisions. Key Responsibilities <ul><li>Develop and expand a core data model that ensures consistency across dashboards.</li><li>Collaborate with Product Managers, BAs, and PowerBI developers to align and implement data models.</li><li>Create, improve, and maintain conceptual and logical data models.</li><li>Implement relational data models and manage a comprehensive data dictionary.</li><li>Ensure performance, scalability, and security across all data models.</li><li>Write and optimize complex SQL queries to populate and enhance the data framework.</li><li>Follow enterprise guidelines and define design standards for data model development.</li><li>Work independently and proactively to address requirements and reduce delivery risks.</li><li>Participate in knowledge transfer sessions to understand data schemas and metrics.</li></ul> Required Qualifications <ul><li>8-12 years of development experience.</li><li>3+ years of advanced PowerBI development, including DAX measures, bookmarks, and field parameters.</li><li>10+ years of SQL experience, including modeling data and writing complex queries.</li><li>Expertise in ETL processes and data modeling.</li><li>Experience with data warehouse and data lake platforms in multi-data-center environments.</li><li>Familiarity with metadata management and data modeling tools (e.g., Erwin, ER Studio).</li><li>Proficiency with version control systems like Git.</li><li>Strong communication and collaboration skills.</li></ul> Preferred Qualifications <ul><li>Experience with object-oriented framework development.</li><li>Familiarity with Azure tools such as ADF, ADLS, and Synapse.</li><li>Experience with data governance tools like Collibra.</li></ul> Work Environment <ul><li>This hybrid role requires three days in the office each week. </li><li>Candidates must be able to work on-site in either Tempe, AZ, or Chicago, IL.</li></ul> Education: Bachelors Degree

Job Summary: •Responsible for providing technical leadership in support of Advocate Health initiatives in cloud computing and automation. •Focus on the design of systems and services that run on cloud platforms. •Reports into the Cloud Engineering Department but embedded into the data product delivery teams. •Ensures critical applications are designed and optimized for high availability and serve business needs. •Enhances and supports the Enterprise Cloud Data Warehouse currently on Snowflake. Major Responsibilities: •Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and Snowflake platform capabilities. •Implements and drives the adoption of cloud-based analytical platforms at a large scale. •Drives scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment. •Program management experience using formal methodology including Agile, Scrum, Waterfall. •Works with business units to translate business strategy into discrete requirements compatible with current technical architecture. •Provides technical leadership and guidance to development teams, ensuring best practices in platform utilization. •Supports executive vision for cloud and may oversee aspects of adoption and governance processes. •Develops and maintains an architectural blueprint and evolutionary roadmap that defines and communicates the strategic direction for modern data platform in support of business and technical strategies. •Supports data product delivery teams in development and delivery of cross-functional analytical solutions. •Implements monitors, alerts, and dashboards for tracking data freshness and platform usage. •Provides support and technical governance, expertise related to cloud architectures, deployment, and operations. Required Qualifications: •Bachelor's degree in computer science or related field. •Typically requires 7 years of experience in at least two IT disciplines, including technical architecture, application development, database management, or operations. •Includes 5 years of work experience with cloud platforms, including experience with data modeling, performance optimization, and administration. Knowledge, Skills & Abilities Required: •Capable of communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form. •Experience with clinical healthcare data is a plus. •Knowledge of DevOps tool chains and processes. •Must have experience with Agile development methodologies. •Knowledge of cloud system engineering principles and considerations. •Experience with Data Governance and Best Practices (Role Based Access Control, Networking Architectures, Cost Management controls, etc.). •Experience in SaaS tools like Snowflake, Microsoft Fabric, dbt Cloud, FiveTran/HVR, Azure DevOps preferred. •Must have experience with end-to-end implementation of cloud data warehouse. •Proficiency in Python and SQL for scripting and building data transformation processes is preferred. •Extensive understanding of security/compliance requirements as it relates to Cloud services. •Familiarity with BI tools and technologies for creating reports and dashboards. Primary Skills: •7+ years of experience in DWH, with at least a couple of years in an architect role. •Snowflake. •CI/CD DevOps - understand how these codes can move from one code to another. •DBT and Fivetran HVR - nice to haves but open to other tools. •Experience creating design patterns (follows medallion architecture). •Excellent communication skills - will be supporting the business analytics teams (EHR, research, data science, etc.). Education: Bachelors Degree

Job Summary

We are seeking an Enterprise Data Architect to lead the design and implementation of NJDOL's data management framework. This role involves developing a comprehensive data strategy, creating data pipelines, ensuring data accuracy, and improving data accessibility across the enterprise. The ideal candidate will have extensive expertise in AWS services, data governance, data modeling, and master data management. The candidate should have strong communication skills to act as a bridge between business operations and IT.

Key Responsibilities

•Conduct assessments of current data systems and establish a system of record and data dictionary.

•Design and maintain enterprise architecture, including conceptual, logical, and physical models.

•Facilitate business sessions to validate taxonomy and use cases.

•Provide design solutions for core data models and new data structures.

•Create and automate data pipelines using AWS services.

•Define and optimize data models to enhance query performance and foster secure data environments.

•Coordinate with the EDL team and assist in promoting database objects across environments.

•Lead design reviews and recommend reusable data models.

•Collaborate with database administrators, ETL developers, and other stakeholders for effective data utilization.

•Mentor team members in data modeling best practices and methodologies.

Required Qualifications

•15+ years of experience as a Data Architect, Data Modeler, or Data Analyst.

•Deep understanding of AWS Cloud Architecture and infrastructure.

•Proficiency in AWS tools: Glue, Data Brew, Lambda, S3, DynamoDB, RDS, Athena, Redshift, and DMS.

•Expertise in data management principles, data governance, and master data management.

•Strong skills in operational and analytical data modeling.

•Hands-on experience with NoSQL, relational MDM data modeling, and Collibra.

•Excellent communication skills and attention to detail.

•Skilled in prioritization and multi-tasking.

Preferred Qualifications

•Experience with mainframe technologies, including COBOL, Db2, IMS DB/DC, VSAM, and JCL.

•Knowledge of working within federal, state, or local government environments.

Location:  Trenton, New Jersey

Education:  Bachelors Degree

Job Summary We are seeking an Enterprise Data Architect to lead the design and implementation of NJDOL's data management framework. This role involves developing a comprehensive data strategy, creating data pipelines, ensuring data accuracy, and improving data accessibility across the enterprise. The ideal candidate will have extensive expertise in AWS services, data governance, data modeling, and master data management. The candidate should have strong communication skills to act as a bridge between business operations and IT. Key Responsibilities •Conduct assessments of current data systems and establish a system of record and data dictionary. •Design and maintain enterprise architecture, including conceptual, logical, and physical models. •Facilitate business sessions to validate taxonomy and use cases. •Provide design solutions for core data models and new data structures. •Create and automate data pipelines using AWS services. •Define and optimize data models to enhance query performance and foster secure data environments. •Coordinate with the EDL team and assist in promoting database objects across environments. •Lead design reviews and recommend reusable data models. •Collaborate with database administrators, ETL developers, and other stakeholders for effective data utilization. •Mentor team members in data modeling best practices and methodologies. Required Qualifications •15+ years of experience as a Data Architect, Data Modeler, or Data Analyst. •Deep understanding of AWS Cloud Architecture and infrastructure. •Proficiency in AWS tools: Glue, Data Brew, Lambda, S3, DynamoDB, RDS, Athena, Redshift, and DMS. •Expertise in data management principles, data governance, and master data management. •Strong skills in operational and analytical data modeling. •Hands-on experience with NoSQL, relational MDM data modeling, and Collibra. •Excellent communication skills and attention to detail. •Skilled in prioritization and multi-tasking. Preferred Qualifications •Experience with mainframe technologies, including COBOL, Db2, IMS DB/DC, VSAM, and JCL. •Knowledge of working within federal, state, or local government environments. Location: Trenton, New Jersey Education: Bachelors Degree

Job Summary

The Data Architect will be responsible for designing, creating, deploying, and managing the organization's data architecture, ensuring optimal data integration, storage, and analysis capabilities. This role works closely with data engineers and analysts to develop scalable data pipelines and analytical tools that empower decision-making processes. The ideal candidate will combine deep technical expertise with a strategic mindset to drive data-driven initiatives across the organization.

Key Responsibilities

• Data Architecture Design: Develop and maintain an end-to-end data architecture strategy, ensuring scalability, security, and alignment with business goals.

• Data Engineering: Lead the design and implementation of robust, scalable, and efficient data pipelines to ingest, process, and store data from diverse data sources.

• Data Modelling: Create and maintain conceptual, logical, and physical data models to support databases, data warehouses, and data lakes.

• Data Integration: Implement and oversee ETL (Extract, Transform, Load) processes for seamless integration of structured and unstructured data from multiple sources.

• Data Analysis: Collaborate with data analysts to ensure data accessibility and deliver actionable insights from business data. Develop architecture that supports advanced analytics, reporting, and machine learning use cases.

• Data Governance: Implement and enforce best practices for data governance, data quality, and data stewardship, ensuring compliance with privacy regulations (e.g., GDPR, CCPA).

• Data Performance Optimization: Monitor and optimize data systems to ensure high availability, reliability, and performance.

• Data Warehousing: Oversee the design and maintenance of data warehouses and data lakes to support analytical queries and real-time reporting.

• Data Security & Compliance: Ensure the data architecture adheres to data security protocols and industry standards, implementing encryption, masking, and other privacy measures.

• Collaboration: Work closely with data engineers, analysts, business stakeholders, and IT teams to define data needs, data flow, and analytics requirements.

• Data Tooling: Identify and recommend tools and technologies for data management, analysis, and reporting, based on current trends and business needs.

• Documentation: Prepare comprehensive documentation for data architecture, processes, and workflows, ensuring clear communication between teams.

• Problem Solving: Lead troubleshooting efforts for data-related issues, providing strategic solutions that support long-term goals.

Required Experience

• 10+ years of experience in data architecture, data engineering, or data management.

• Strong experience in building and optimizing data pipelines, architectures, and data sets.

• Proven experience in data modelling, database design, and data integration.

• Experience with both structured (SQL) and unstructured (NoSQL, Hadoop) data management.

• Demonstrated experience in data analysis and delivering data-driven insights to stakeholders.

• Experience with cloud platforms for data management (e.g., AWS, Azure, Google Cloud).

• Knowledge of data governance and compliance frameworks.

Technical Skills

• Proficiency with ETL tools (e.g., Talend, Informatica) and data pipeline orchestration frameworks (e.g., Apache Airflow, AWS Glue).

• Strong SQL and Python programming skills.

• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and big data technologies (e.g., Hadoop, Spark).

• Familiarity with data analysis and visualization tools (e.g., Tableau, Power BI, Looker).

• Experience with advanced analytics and machine learning platforms is a plus.

• Knowledge of data lake architecture and working with real-time streaming data solutions (e.g., Kafka, Kinesis) is highly desirable.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

• Strong problem-solving and analytical thinking with experience in delivering strategic data solutions.

• Excellent communication skills to interact with both technical and non-technical stakeholders.

• Experience with Agile methodologies and data engineering best practices.

Certifications

• AWS Certified Solutions Architect

• Google Cloud Professional Data Engineer

• Microsoft Certified Azure Data Engineer

Education:  Bachelors Degree

Job Summary: •Responsible for providing technical leadership in support of Advocate Health initiatives in cloud computing and automation. •Focus on the design of systems and services that run on cloud platforms. •Reports into the Cloud Engineering Department but embedded into the data product delivery teams. •Ensures critical applications are designed and optimized for high availability and serve business needs. •Enhances and supports the Enterprise Cloud Data Warehouse currently on Snowflake. Major Responsibilities: •Defines & develops enterprise data architecture concepts and standards leveraging leading architecture practices and Snowflake platform capabilities. •Implements and drives the adoption of cloud-based analytical platforms at a large scale. •Drives scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment. •Program management experience using formal methodology including Agile, Scrum, Waterfall. •Works with business units to translate business strategy into discrete requirements compatible with current technical architecture. •Provides technical leadership and guidance to development teams, ensuring best practices in platform utilization. •Supports executive vision for cloud and may oversee aspects of adoption and governance processes. •Develops and maintains an architectural blueprint and evolutionary roadmap that defines and communicates the strategic direction for modern data platform in support of business and technical strategies. •Supports data product delivery teams in development and delivery of cross-functional analytical solutions. •Implements monitors, alerts, and dashboards for tracking data freshness and platform usage. •Provides support and technical governance, expertise related to cloud architectures, deployment, and operations. Required Qualifications: •Bachelor's degree in computer science or related field. •Typically requires 7 years of experience in at least two IT disciplines, including technical architecture, application development, database management, or operations. •Includes 5 years of work experience with cloud platforms, including experience with data modeling, performance optimization, and administration. Knowledge, Skills & Abilities Required: •Capable of communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form. •Experience with clinical healthcare data is a plus. •Knowledge of DevOps tool chains and processes. •Must have experience with Agile development methodologies. •Knowledge of cloud system engineering principles and considerations. •Experience with Data Governance and Best Practices (Role Based Access Control, Networking Architectures, Cost Management controls, etc.). •Experience in SaaS tools like Snowflake, Microsoft Fabric, dbt Cloud, FiveTran/HVR, Azure DevOps preferred. •Must have experience with end-to-end implementation of cloud data warehouse. •Proficiency in Python and SQL for scripting and building data transformation processes is preferred. •Extensive understanding of security/compliance requirements as it relates to Cloud services. •Familiarity with BI tools and technologies for creating reports and dashboards. Primary Skills: •7+ years of experience in DWH, with at least a couple of years in an architect role. •Snowflake. •CI/CD DevOps - understand how these codes can move from one code to another. •DBT and Fivetran HVR - nice to haves but open to other tools. •Experience creating design patterns (follows medallion architecture). •Excellent communication skills - will be supporting the business analytics teams (EHR, research, data science, etc.). Education: Bachelors Degree

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