The Senior Data Architect will design and manage data architectures using Databricks and cloud technologies, ensuring efficient integration and governance while leading technical discussions with stakeholders.
- 10+ years of IT experience
- Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
- Enterprise data warehouses and lakehouse platforms (Nice to have Fabric, Snowflake, Synapse, BigQuery – experience)
Deep knowledge of data modeling, data warehousing, and lakehouse patterns
Hands‑on experience with at least one modern data platform:
- Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client‑facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND
- Deep hands on experience with Databricks Lakehouse Platform and Apache Spark
- Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL
- Experience implementing Unity Catalog, data governance, and enterprise security controls
- Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
- Familiarity with CI/CD, DevOps, and automation for Databricks workloads
Datavail’s Data Management Services:
Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. Datavail’s data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business objectives, goals and requirements, assess your environment, and recommend the tools which best fit your unique situation. Our proven methodology can help your project succeed, regardless of stage. With the combination of a proven delivery model and top-notch experience ensures that Datavail will remain the Data Management experts on demand you desire. Datavail’s flexible and client focused services always add value to your organization.
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves designing data solutions and analytics roadmaps, leading projects, and ensuring data integrity, while mentoring team members and working closely with clients.
Top Skills:
JavaPython
Hospitality
The Senior Data Architect leads enterprise data architecture, ensuring effective data models and governance while collaborating with various stakeholders to support business intelligence and AI/ML capabilities.
Top Skills:
AIAWSAzureMlSnowflakeSQLTableau
Beauty
The Senior Data Architect will oversee enterprise data architecture, ensuring standards for scalability and security while designing data models and integration patterns across business functions for analytics and reporting.
Top Skills:
AWSAzureDbtGCPPower BISnowflake
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


