Greetings,
Please go through below job description and share some qualified resources.
Looking for Local candidates only
Position: Databricks Data Architect
Location:
Mahwah, NJ (Hybrid Role)
Type: Open for Contract
- Data Engineering Execution
- Build and maintain ingestion frameworks (ADF / Databricks / Spark)
- Implement Bronze -> Silver transformations aligned to architecture
- Architect data quality checks, schema validation, and contract rules
- Optimize pipelines for performance and cost
- DevOps & Automation
- Own CI/CD pipelines (Azure DevOps)
- Automate onboarding (repos, pipelines, policies, templates)
- Maintain IaC and scripting (Terraform, PowerShell / Python)
- Troubleshoot pipeline failures and permission issues
- Data Modeling -
Design and implement curated data models in Gold layer aligned to business use cases
- Build:
- Dimensional models (star/snowflake schemas)
- Fact tables, dimensions, surrogate keys, SCD handling
- Translate Silver datasets into:
- Analytics-ready models
- Consistent KPI definitions and business logic
- Ensure:
- Consistency across domains (common dimensions, conformed models)
- Reusability and scalability of models
- Alignment with enterprise semantic layer (Power BI / Fabric / downstream
tools)
- Handle changes such as:
- Column derivation logic changes (not just schema changes)
- Backward compatibility and impact analysis
- Partner with business / data stewards to:
- Define business rules
- Validate metrics and edge cases
- Support regression scenarios
- Governance & Data Quality Implementation
- Implement governance patterns defined by architecture
- Enforce:
- Unity Catalog standards
- naming conventions, metadata policies
- access controls (RBAC/ABAC)
-
- Architecture Translation
- Automation first thinking and design approach.
- Convert high-level architecture into:
- low-level designs
- reusable templates
- engineering playbooks
- Ensure consistency across projects and teams
- Team Enablement
- Support delivery teams with:
- onboarding
- debugging
- design reviews
- Provide hands-on guidance
- Create reusable assets to reduce repeat questions
Required Skills
- Core Platform
- Azure Data Platform (ADF, ADLS, Azure SQL)
- Databricks (DLT, Delta Lake, Spark, Workflows, Unity Catalog)
- Microsoft Fabric (preferred)
- Engineering
- PySpark / Python (advanced)
- SQL (strong)
- Pipeline design (batch + streaming)
- DevOps / Automation
-
Azure DevOps (pipelines, repos, policies)
-
PowerShell automation (must-have for your setup)
-
CI/CD + Infrastructure-as-Code concepts
- Governance / Data Quality
- Schema enforcement, data contracts, DQ frameworks
- Metadata-driven design understanding
Regards,
Anurag Srivastava
VBeyond Corporation
https://www.linkedin.com/in/anuragsrivastava90/
E: anur...@vbeyond.com | www.vbeyond.com
390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

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