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.
Top Skills
Aws Databricks
Azure Databricks
Ci/Cd
Databricks
Databricks Sql
Delta Lake
DevOps
Gcp Databricks
Pyspark
SQL
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