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

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

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

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

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

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