Senior Data Platform Engineer, Fabric & Real-Time Pipelines

Vomela; United States; On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k)

Life Insurance

Paid Time Off

Short Term & Long-Term Disability

Training & Development

Wellness Resources

Job summary

Vomela is seeking a Principal Data Engineer to own the data platform end-to-end, defining data strategy and delivering scalable, trusted data solutions. You will lead architecture decisions, write production code, and mentor others while shaping the organization’s data roadmap.

The role emphasizes Microsoft Fabric as the data platform and requires strong capabilities in streaming, semantic modeling, and data governance to support enterprise reporting and analytics across business units.

Qualifications

• Microsoft Fabric: Lakehouses, Notebooks, Dataflows Gen2, Event streams, Semantic Models, Direct Lake mode
• Power BI: report development and semantic model design
• SQL Server / Azure SQL: query optimization, schema design
• Azure DevOps: Git-based CI/CD for data pipelines
• Demonstrated use of AI coding assistants in production engineering workflow
• Ability to critically evaluate, edit, and improve AI-generated code

Responsibilities

• Design and implement dimensional models, star schemas, and snowflake schemas with rigor
• Build and maintain semantic models that serve as the single source of truth for business reporting
• Implement Slowly Changing Dimension (SCD) strategies appropriate to each domain
• Own master data engineering: golden record patterns, source-of-record authority, cross-system identity resolution
• Establish and enforce data modeling standards across the team
• Design and operate real-time and near-real-time pipelines using streaming technologies (Kafka, Confluent Cloud, Fabric Eventstreams)
• Relentlessly drive down data staleness in non-streaming scenarios through scheduling, incremental load optimization, and pipeline orchestration design
• Own performance tuning across the full stack — query optimization, partition strategy, indexing, Delta table compaction, semantic model refresh efficiency, and Direct Lake readiness
• Apply operational engineering discipline: pipeline observability, alerting, SLA definition, failure recovery, and capacity planning
• Design and implement controls for sensitive data (financials, PII, HIPAA)
• Build robust, scalable, observable pipelines — watermark-based incremental loads, CDC patterns, batch and streaming architectures
• Ensure pipelines are idempotent, recoverable, and production-hardened
• Serve as the senior technical voice in code review — your approval carries weight
• Translate business requirements into semantic models and report-layer artifacts for non-technical users
• Define and enforce data contracts — schema stability, access patterns, SLAs — for each consumer class
• Own the developer experience of the platform: discoverability, documentation, and onboarding

Skills

Dimensional modeling

Data warehousing

SQL

Performance tuning

Data pipelines

Real-time streaming

Kafka

Fabric

Power BI

Delta Lake

Tools

Microsoft Fabric

Kafka

Confluent Cloud

Fabric Eventstreams

Notebooks

Pipelines

Direct Lake

Power BI

SQL Server/Azure SQL

Job description

Vomela is seeking a Principal Data Engineer to own the data platform end-to-end, defining data strategy and delivering scalable, trusted data solutions. You will lead architecture decisions, write production code, and mentor others while shaping the organization’s data roadmap.

The role emphasizes Microsoft Fabric as the data platform and requires strong capabilities in streaming, semantic modeling, and data governance to support enterprise reporting and analytics across business units.