Enterprise Data Architect
Posted on Oct 7, 2024 by Ent Credit Union
Colorado Springs, CO
Construction
Immediate Start
Annual Salary
Full-Time
Job Description
The Enterprise Data Architect has an advanced understanding of the methodologies and techniques relevant to designing, creating, deploying, and managing Ent's data architecture. The end result will enable Ent to meet or exceed various business strategies. This resource will work primarily on agile teams with project managers, product owners, data engineers, business intelligence analysts, data scientists, and developers.
Essential Functions
Database and Data Lake architecture/design: Initiate/recommend the collection of new data sources or modification of existing data sources to solve business problems. Architect database and/or data lake schemas to ensure data is stored in an efficient manner that aligns with the business objectives and allows rapid, actionable insights. Consult with Data Engineers on pipeline development ensuring data mappings align with the expected schemas. Consult with Data/BI analysts and Data Scientists to ensure data schemas and pipeline processing meet the needs of downstream analytical processes. Design and optimize high performing data models for different consumption patterns from the data stores (databases and/or data lakes). Act as subject matter expert for ALL data flowing into Ent's data warehouse/lakehouse.
Business Partnership/Communication: Develop partnerships with the consumers of Ent's data assets to understand business needs. Facilitate schema development that aligns with business definitions. Document how schemas map to business data sources.
Architectural Patterns and Practices: Document various architectural patterns and practices for use throughout the Data & Analytics teams. Perform periodic checks to ensure Data Engineers are following best practices as documented, including participating in code reviews on occasion.
Data Governance: Work closely with the Data Governance committee in helping define data standards and policies. Ensure any design/development adheres to the Data Governance standards/policies. Help ensure the data integrity of data at all stages (ingestion to presentation). Help ensure data is secure and only accessible within guidelines set forth by the Data Governance committee. Help document current data processes, including data flow diagrams and data dictionaries.
Technical Lead: Increase team effectiveness by providing consulting expertise and technical mentoring across multiple verticals.
Bank Secrecy Act: Remains cognizant of and adheres to Ent policies and procedures, and regulations pertaining to the Bank Secrecy Act.
The Enterprise Data Architect has an advanced understanding of the methodologies and techniques relevant to designing, creating, deploying, and managing Ent's data architecture. The end result will enable Ent to meet or exceed various business strategies. This resource will work primarily on agile teams with project managers, product owners, data engineers, business intelligence analysts, data scientists, and developers.
Essential Functions
Database and Data Lake architecture/design: Initiate/recommend the collection of new data sources or modification of existing data sources to solve business problems. Architect database and/or data lake schemas to ensure data is stored in an efficient manner that aligns with the business objectives and allows rapid, actionable insights. Consult with Data Engineers on pipeline development ensuring data mappings align with the expected schemas. Consult with Data/BI analysts and Data Scientists to ensure data schemas and pipeline processing meet the needs of downstream analytical processes. Design and optimize high performing data models for different consumption patterns from the data stores (databases and/or data lakes). Act as subject matter expert for ALL data flowing into Ent's data warehouse/lakehouse.
Business Partnership/Communication: Develop partnerships with the consumers of Ent's data assets to understand business needs. Facilitate schema development that aligns with business definitions. Document how schemas map to business data sources.
Architectural Patterns and Practices: Document various architectural patterns and practices for use throughout the Data & Analytics teams. Perform periodic checks to ensure Data Engineers are following best practices as documented, including participating in code reviews on occasion.
Data Governance: Work closely with the Data Governance committee in helping define data standards and policies. Ensure any design/development adheres to the Data Governance standards/policies. Help ensure the data integrity of data at all stages (ingestion to presentation). Help ensure data is secure and only accessible within guidelines set forth by the Data Governance committee. Help document current data processes, including data flow diagrams and data dictionaries.
Technical Lead: Increase team effectiveness by providing consulting expertise and technical mentoring across multiple verticals.
Bank Secrecy Act: Remains cognizant of and adheres to Ent policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Reference: 199168444
https://jobs.careeraddict.com/post/95999622
Enterprise Data Architect
Posted on Oct 7, 2024 by Ent Credit Union
Colorado Springs, CO
Construction
Immediate Start
Annual Salary
Full-Time
Job Description
The Enterprise Data Architect has an advanced understanding of the methodologies and techniques relevant to designing, creating, deploying, and managing Ent's data architecture. The end result will enable Ent to meet or exceed various business strategies. This resource will work primarily on agile teams with project managers, product owners, data engineers, business intelligence analysts, data scientists, and developers.
Essential Functions
Database and Data Lake architecture/design: Initiate/recommend the collection of new data sources or modification of existing data sources to solve business problems. Architect database and/or data lake schemas to ensure data is stored in an efficient manner that aligns with the business objectives and allows rapid, actionable insights. Consult with Data Engineers on pipeline development ensuring data mappings align with the expected schemas. Consult with Data/BI analysts and Data Scientists to ensure data schemas and pipeline processing meet the needs of downstream analytical processes. Design and optimize high performing data models for different consumption patterns from the data stores (databases and/or data lakes). Act as subject matter expert for ALL data flowing into Ent's data warehouse/lakehouse.
Business Partnership/Communication: Develop partnerships with the consumers of Ent's data assets to understand business needs. Facilitate schema development that aligns with business definitions. Document how schemas map to business data sources.
Architectural Patterns and Practices: Document various architectural patterns and practices for use throughout the Data & Analytics teams. Perform periodic checks to ensure Data Engineers are following best practices as documented, including participating in code reviews on occasion.
Data Governance: Work closely with the Data Governance committee in helping define data standards and policies. Ensure any design/development adheres to the Data Governance standards/policies. Help ensure the data integrity of data at all stages (ingestion to presentation). Help ensure data is secure and only accessible within guidelines set forth by the Data Governance committee. Help document current data processes, including data flow diagrams and data dictionaries.
Technical Lead: Increase team effectiveness by providing consulting expertise and technical mentoring across multiple verticals.
Bank Secrecy Act: Remains cognizant of and adheres to Ent policies and procedures, and regulations pertaining to the Bank Secrecy Act.
The Enterprise Data Architect has an advanced understanding of the methodologies and techniques relevant to designing, creating, deploying, and managing Ent's data architecture. The end result will enable Ent to meet or exceed various business strategies. This resource will work primarily on agile teams with project managers, product owners, data engineers, business intelligence analysts, data scientists, and developers.
Essential Functions
Database and Data Lake architecture/design: Initiate/recommend the collection of new data sources or modification of existing data sources to solve business problems. Architect database and/or data lake schemas to ensure data is stored in an efficient manner that aligns with the business objectives and allows rapid, actionable insights. Consult with Data Engineers on pipeline development ensuring data mappings align with the expected schemas. Consult with Data/BI analysts and Data Scientists to ensure data schemas and pipeline processing meet the needs of downstream analytical processes. Design and optimize high performing data models for different consumption patterns from the data stores (databases and/or data lakes). Act as subject matter expert for ALL data flowing into Ent's data warehouse/lakehouse.
Business Partnership/Communication: Develop partnerships with the consumers of Ent's data assets to understand business needs. Facilitate schema development that aligns with business definitions. Document how schemas map to business data sources.
Architectural Patterns and Practices: Document various architectural patterns and practices for use throughout the Data & Analytics teams. Perform periodic checks to ensure Data Engineers are following best practices as documented, including participating in code reviews on occasion.
Data Governance: Work closely with the Data Governance committee in helping define data standards and policies. Ensure any design/development adheres to the Data Governance standards/policies. Help ensure the data integrity of data at all stages (ingestion to presentation). Help ensure data is secure and only accessible within guidelines set forth by the Data Governance committee. Help document current data processes, including data flow diagrams and data dictionaries.
Technical Lead: Increase team effectiveness by providing consulting expertise and technical mentoring across multiple verticals.
Bank Secrecy Act: Remains cognizant of and adheres to Ent policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Reference: 199168444
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