Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.
Job Summary
We are looking for an experienced Data Architect to design and lead enterprise data architecture, data platforms, and data solutions. The ideal candidate will have strong expertise in data modeling, data warehousing, data lakes/lakehouses, cloud data platforms, data integration, governance, and analytics architecture.
The Data Architect will work closely with business stakeholders, data engineers, analysts, application teams, and technology leadership to build scalable, secure, reliable, and high-performing data ecosystems.
Key Responsibilities
- Define and implement enterprise data architecture aligned with business and technology strategy.
- Design scalable architectures for data warehouses, data lakes, lakehouses, and modern data platforms.
- Develop conceptual, logical, and physical data models.
- Define enterprise standards for:
- Data modeling
- Data integration
- Data quality
- Metadata management
- Data governance
- Master Data Management (MDM)
- Data security and privacy
- Design ETL/ELT and real-time data integration architectures.
- Architect batch and streaming data pipelines using technologies such as Kafka, Spark, or equivalent platforms.
- Design cloud-native data solutions across AWS, Azure, or GCP.
- Evaluate and select appropriate databases, storage technologies, integration tools, and data platforms.
- Design architectures for structured, semi-structured, and unstructured data.
- Establish data architecture patterns for analytics, BI, reporting, and AI/ML workloads.
- Work with data engineering teams to ensure architectural standards are followed.
- Define strategies for data migration, modernization, integration, and platform transformation.
- Design highly available, scalable, secure, and cost-efficient data platforms.
- Establish data lineage, metadata, cataloging, and governance capabilities.
- Identify and address data quality, performance, security, and scalability issues.
- Conduct architecture reviews, technology evaluations, and proof-of-concepts.
- Create architecture diagrams, technical standards, reference architectures, and design documentation.
- Provide technical leadership and mentorship to data engineers and other technical teams.
Required Technical Skills
- Strong experience in Data Architecture and Enterprise Architecture.
- Excellent knowledge of data modeling:
- Dimensional modeling
- Star/snowflake schemas
- 3NF
- Data Vault
- Canonical data models
- Strong experience with Data Warehousing and Data Lakes/Lakehouses.
- Hands-on experience with technologies such as:
- Snowflake
- Databricks
- Azure Data Factory / AWS Glue / equivalent
- Apache Spark
- Kafka / streaming technologies
- Strong SQL and database knowledge.
- Experience with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, etc.
- Experience with NoSQL databases is a plus.
- Strong understanding of ETL/ELT, APIs, CDC, batch processing, and real-time data integration.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data governance, data quality, metadata, lineage, security, and privacy.
- Understanding of BI and analytics platforms such as Power BI, Tableau, or equivalent.
- Experience with DevOps, CI/CD, infrastructure automation, and cloud-native technologies is preferred.
Compensation, Benefits and Duration
Minimum Compensation: USD 53,000
Maximum Compensation: USD 188,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Leads strategy, roadmap, and execution for Rapid7’s SIEM and threat detection products. Translates customer, market, and competitive insights into prioritized capabilities for data ingestion, detection, search, and reporting. Aligns global engineering, detection science, SOC operations, marketing, sales, and customer success teams while driving delivery excellence, data-backed decisions, and improvements to the MDR customer experience.
Top Skills:
B2B SaasCloud EnvironmentsLog ManagementManaged Detection And Response (Mdr)SIEMSoc PlatformsThreat Detection
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Own renewal strategies and lifecycle execution for a SaaS customer portfolio. Manage negotiations, contracts, pricing guidance, forecasts, and customer or partner issues while identifying upsell and cross-sell opportunities. Partner with Sales, Customer Success, Channel, and Finance to drive retention and recurring revenue. Use Salesforce, Clari, and internal tools to analyze account performance and forecast renewals.
Top Skills:
ClariCrm SystemsSalesforce
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Leads product strategy, roadmap, and execution for Rapid7’s managed detection and response portfolio, Endpoint agent, and SOAR/response capabilities. Aligns SOC Operations, Engineering, Detection Science, Vulnerability Research, Customer Success, Sales, and Marketing teams. Translates customer needs, operational data, market intelligence, and emerging AI and automation opportunities into prioritized improvements that enhance service quality, analyst efficiency, customer outcomes, retention, and growth.
Top Skills:
AIAutomationEdrMdrSIEMSoarXdr
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
