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Job Title: Senior Enterprise Data Architect
Location: Remote
Long Term Project
Key Skills Sets:- Snowflake, MuleSoft, Informatica, Gainsight, Salesforce
Data Modeling:-
Master Data Management
Data Lineage and Governance Data Lifecycle Management ETL/ELT Processes and Tools:-
Data Profiling and Cleansing
Data Matching and Deduplication:-
Data Enrichment, Customer 360
Job Description:-
As an Enterprise Data Architect, you'll identify the data needs of the organization and design and maintain blueprints based on those to assist in the guidance of data integration, control of data assets and alignment of data investments with the business strategy. You'll document multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, agile and adaptable manner.
About the Role
· Create and evolve the technology road maps that define company data architectures and enable a solid company data strategy
· Ensure data solutions are built for performance, fault tolerance and security with reusable patterns
· Develop and share best practices for knowledge and data discovery to deliver impactful data-driven decision support systems
· Form and define best practices for change management, source control and deployment methodologies for big data solutions
· Identify and enable data capabilities across the company
· Design integrations with other data sources
· Research, analyze, and promote data standards to be used across the company
· Set and lead standards discussions among big data engineers, data scientists and other team members across the business
· Architect data solutions
· Identify and implement build vs. buy strategies regarding technology
· Identify performance trends and work with teams to improve processes and procedures
· Partner with the business and appropriate teams to deliver road maps
· Work with the team to build a holistic view of the company's strategy, processes, information and information technology assets
· Define best practices and internal guidelines
· Research new technologies
· Mentor team members and share best practices
· Capture program metrics
Minimum Qualifications
· Bachelor’s degree in computer science, information technology, software engineering or a related field
· 7 years of experience in database administration, application development, data integration, data modeling and data management
· 7 years of experience with relational data modeling, big data modeling, conceptual data modeling and logical data modeling
· 5 years of experience with system architecture and normalization considerations
· Experience with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA or CMMI
· Experience with event streaming architecture pattern to design and implement real-time data processing systems
Preferred Qualifications
· 7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes or governance (architectural and technical)
· 5 years of experience with building data solutions
· 5 years of experience with inter-system communication strategies, including ESB and web services
· Master’s degree in computer science, information technology, software engineering or a related field preferred
· Knowledge of and experience with Open Group Standards
· Experience with Agile software development practices
Location: Remote
Long Term Project
Key Skills Sets:- Snowflake, MuleSoft, Informatica, Gainsight, Salesforce
Data Modeling:-
Master Data Management
Data Lineage and Governance Data Lifecycle Management ETL/ELT Processes and Tools:-
Data Profiling and Cleansing
Data Matching and Deduplication:-
Data Enrichment, Customer 360
Job Description:-
As an Enterprise Data Architect, you'll identify the data needs of the organization and design and maintain blueprints based on those to assist in the guidance of data integration, control of data assets and alignment of data investments with the business strategy. You'll document multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, agile and adaptable manner.
About the Role
· Create and evolve the technology road maps that define company data architectures and enable a solid company data strategy
· Ensure data solutions are built for performance, fault tolerance and security with reusable patterns
· Develop and share best practices for knowledge and data discovery to deliver impactful data-driven decision support systems
· Form and define best practices for change management, source control and deployment methodologies for big data solutions
· Identify and enable data capabilities across the company
· Design integrations with other data sources
· Research, analyze, and promote data standards to be used across the company
· Set and lead standards discussions among big data engineers, data scientists and other team members across the business
· Architect data solutions
· Identify and implement build vs. buy strategies regarding technology
· Identify performance trends and work with teams to improve processes and procedures
· Partner with the business and appropriate teams to deliver road maps
· Work with the team to build a holistic view of the company's strategy, processes, information and information technology assets
· Define best practices and internal guidelines
· Research new technologies
· Mentor team members and share best practices
· Capture program metrics
Minimum Qualifications
· Bachelor’s degree in computer science, information technology, software engineering or a related field
· 7 years of experience in database administration, application development, data integration, data modeling and data management
· 7 years of experience with relational data modeling, big data modeling, conceptual data modeling and logical data modeling
· 5 years of experience with system architecture and normalization considerations
· Experience with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA or CMMI
· Experience with event streaming architecture pattern to design and implement real-time data processing systems
Preferred Qualifications
· 7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes or governance (architectural and technical)
· 5 years of experience with building data solutions
· 5 years of experience with inter-system communication strategies, including ESB and web services
· Master’s degree in computer science, information technology, software engineering or a related field preferred
· Knowledge of and experience with Open Group Standards
· Experience with Agile software development practices
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
