Remote Composite Engineer Jobs in Forney, TX (NOW HIRING)

Job Overview:

Pay Range $55hr - $60hr

Requirement/Must Have:

• 12+ years of experience in data architecture, data warehousing, or analytics platform engineering.
• Hands-on expertise with Azure Databricks, Delta Lake, and Unity Catalog.
• Strong experience with Power BI semantic modeling, DAX optimization, and security models.
• Deep knowledge of lakehouse, data warehouse, and distributed data processing architectures.
• Proven experience implementing data governance and data quality frameworks at enterprise scale.
• Strong understanding of cloud security, IAM, RBAC, and compliance controls.
• Excellent communication skills with the ability to translate business requirements into technical architecture.

Responsibilities:

• Architect and own Azure Databricks Lakehouse solutions using Medallion architecture (Bronze/Silver/Gold).
• Define ingestion patterns using Fivetran, REST APIs, SFTP, CDC, and incremental load strategies.
• Design canonical, dimensional, and semantic data models optimized for analytical workloads.
• Establish Power BI semantic layer standards including datasets, DAX measures, calculation groups, and composite models.
• Implement enterprise KPI governance, metric versioning, and certified dataset patterns.
• Operationalize data governance frameworks covering data quality, metadata management, lineage, and stewardship.
• Leverage Unity Catalog for centralized metadata, RBAC, row-level and object-level security, auditing, and lineage.
• Define data quality rules, validation checks, reconciliation logic, and observability metrics.
• Design CI/CD pipelines for Databricks notebooks, jobs, and Power BI artifacts across Dev/Test/Prod environments.
• Optimize performance through partitioning, clustering, caching, and query optimization techniques.
• Ensure compliance with enterprise data classification, privacy, retention, and regulatory standards.
• Review and approve solution designs, data models, and transformation logic from engineering teams.
• Mentor data engineers and analysts on architecture, modeling, governance, and best practices.
• Establish and operationalize a Data Governance framework covering data ownership, stewardship, quality, metadata, lineage, and lifecycle management.
• Define and enforce data standards, policies, and controls to ensure data consistency, trust, and regulatory compliance across the enterprise.
• Leverage Unity Catalog to implement centralized governance for metadata management, access control, auditing, and data lineage.
• Partner with business and technology stakeholders to drive KPI standardization, certified datasets, and data quality accountability.
• Ensure governance is embedded into the data platform through automated controls, validation rules, and secure access patterns.

Nice to Have:

• Experience with CI/CD tooling (Azure DevOps, GitHub Actions) for data platforms.
• Familiarity with Azure-native services and enterprise cloud standards.
• Experience supporting multi-tenant or multi-domain analytics platforms.
• Background in retail, consumer goods, supply chain, or financial analytics.