Technical Architect - I_Azure DataBricks

Lead discovery and architecture discussions with customer stakeholders Validate current state architecture, data flow, existing business logic, source dependencies, data gaps, and reporting consumption patterns Databricks Lakehouse Architecture Lead Databricks Lakehouse solution using Delta Lake, Lakeflow Jobs, Delta Live Tables or equivalent pipeline patterns, Databricks SQL, Unity Catalog, Data Quality, Lineage, and Governance Define ingestion, transformation, data quality, orchestration, audit, logging, and monitoring patterns across layers Guide the use of metadata driven ingestion and processing frameworks for repeatable ingestion, configuration driven pipelines, auditability, and operational consistency Define standards for catalog, schema, table, view, workflow, job, and configuration management across Dev, QA, and Prod Provide architecture guidance for performance, scalability, partitioning and clustering, workload sizing, and operational readiness Governance, Security and Observability Define the use of Unity Catalog for access control, catalog and schema governance, lineage where available, technical metadata, and data security Collaborate with customer security teams to align Databricks roles, privileges, sensitive data handling, and masking rules Define an observability approach for pipeline health, data quality status, freshness, job failures, operational metrics, and cost monitoring Ensure compliance and audit requirements are considered in the solution architecture Validation, Reconciliation and Customer Engagement Support customer alignment on validation criteria, historical load expectations, KPI level reconciliation, and business sign off approach Lead solution review discussions, explain technical trade offs, and help manage scope clarifications

Provide advisory support during estimation, roadmap refinement, and schedule compression discussions Required Skills and Qualifications 10+ years of experience in data architecture, cloud data platforms, healthcare analytics, data modernization, or enterprise data engineering Strong hands on architecture experience with Azure Databricks, DBT, SQL Server Stored Procedures, SSIS, Delta Lake, Databricks SQL, Unity Catalog, and Medallion Architecture Strong understanding of the Azure ecosystem, including ADLS, ADF and orchestration patterns, GitHub, GitHub Actions, Azure networking, identity, and security concepts Proven experience designing Bronze, Silver, Gold, and Semantic or Consumption layers for analytics use cases Ability to define and communicate solution architecture to both executive and technical stakeholders Strong experience in requirements clarification, scope definition, assumptions and dependencies documentation, and delivery planning Excellent communication, facilitation, and stakeholder management skills in an onshore client facing role Mandatory Skills Azure Databricks, DBT, SSIS, and SQL Server Stored Procedure architecture and implementation experience Databricks Medallion Architecture, including Bronze, Silver, Gold, and Semantic or Metric layers Delta Lake, Databricks SQL, Lakeflow Jobs and Workflows, and Databricks job orchestration Unity Catalog governance, access control, lineage, and data security concepts Azure Data Platform experience including ADLS, ADF and ingestion patterns, Azure SQL, and SQL Server Experience defining Data Quality, Reconciliation, Audit, Logging, and Operational Monitoring patterns CI/CD experience for data platform deployments Client facing consulting experience with the ability to conduct workshops, solution walkthroughs, and design reviews Ability to manage scope, risks, assumptions, dependencies, and architectural decisions VeeRteq Solutions is an Equal Opportunity Employer