Senior Databricks Data Product Engineer (Hybrid)

VDart Inc; Dallas (TX); Hybrid; USD 140,000 - 190,000; Part time

Job summary

VDart Inc. seeks a Data Product Engineer (Databricks) in Dallas, TX (Hybrid) for a contract engagement.

Lead architecture and implementation of enterprise Data Product standards within the Databricks ecosystem, driving reusable frameworks and governance across data products. You will partner with business, risk, and technology leadership to identify high-value data products, build MVPs, and guide delivery with CI/CD, monitoring, and security controls.

Qualifications

• Minimum 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Enterprise Data Management.
• Minimum 5+ years designing and implementing cloud-based data platforms and data products.
• Minimum 4+ years hands-on Databricks experience (Delta Lake, Unity Catalog, Workflows, MLflow, Lakehouse patterns).
• Minimum 5+ years designing scalable data architectures and distributed data processing solutions.
• Minimum 4+ years building enterprise data pipelines using Spark, Python, SQL, and cloud-native tech.
• Minimum 3+ years delivering cloud-based solutions on Azure, AWS, or GCP.
• Experience in data governance, metadata management, data quality, lineage, and security in modern platforms.
• Experience creating reusable engineering standards and platform accelerators for large-scale adoption.
• Excellent ability to translate business requirements into scalable data product solutions.
• Strong communication and consulting skills for architecture workshops and executive reviews.

Responsibilities

• Lead design and implementation of enterprise Data Product standards, patterns, and engineering practices in Databricks.
• Partner with stakeholders to identify high-value data products supporting critical analytics outcomes.
• Define reusable data product frameworks, governance controls, metadata standards, and quality requirements.
• Architect and build end-to-end MVP Data Products in Databricks including ingestion, transformation, quality, metadata, security, lineage, and consumption layers.
• Develop scalable data pipelines and Lakehouse solutions using Databricks, Delta Lake, Unity Catalog, Spark, and cloud services.
• Collaborate with Data Engineers, Data Architects, Governance, and platform teams to establish delivery standards for product-based data management.
• Design and implement data product templates, CI/CD patterns, monitoring, observability, and automated testing frameworks.
• Evaluate existing data assets and capabilities to identify modernization opportunities and adoption improvements.
• Create proof-of-value demos and MVPs to validate architecture decisions and demonstrate business value.
• Lead architecture workshops and stakeholder discussions on data contracts, interoperability, discoverability, and consumption patterns.

Skills

Data Engineering

Data Architecture

Analytics Engineering

Enterprise Data Management

Databricks

Delta Lake

Unity Catalog

Spark

Python

SQL

Tools

Databricks

Delta Lake

Unity Catalog

Spark

MLflow

Workflows

Job description

VDart Inc. seeks a Data Product Engineer (Databricks) in Dallas, TX (Hybrid) for a contract engagement.

Lead architecture and implementation of enterprise Data Product standards within the Databricks ecosystem, driving reusable frameworks and governance across data products. You will partner with business, risk, and technology leadership to identify high-value data products, build MVPs, and guide delivery with CI/CD, monitoring, and security controls.