Data Engineer (Microsoft Fabric And Databricks)

Job Title: Data Engineer (Microsoft Fabric and Databricks)

Location: Reston, VA

Type of Role: Contract

US Citizen or Green Card Holder Only.

POSITION OVERVIEW:

Our team is currently looking for a Senior Data Engineer for one of our clients in the New Energies Industry.

The Senior Data Engineer is responsible for the design, development, administration, governance, and operational support of enterprise data platforms built on Microsoft Fabric. This role combines deep data engineering expertise with platform administration capabilities to ensure scalable, secure, reliable, and cost-effective data solutions that support business operations, analytics, AI initiatives, and project delivery.

RESPONSIBILITIES AND ESSENTIAL DUTIES:

• Own end-to-end technical design, development, and delivery of enterprise data engineering solutions.
• Design and implement scalable ETL/ELT, data integration, and data transformation pipelines for structured and unstructured data sources.
• Develop and maintain batch, near real-time, and streaming data ingestion pipelines from databases, APIs, files, cloud storage, and enterprise applications.
• Build reusable notebooks, data transformations, and processing frameworks using Databricks, Microsoft Fabric, Python, PySpark, and SQL.
• Design and implement Lakehouse architecture using Delta Lake, OneLake, and medallion architecture (Bronze, Silver, Gold layers).
• Create trusted datasets, curated data products, and semantic-ready data structures supporting analytics, reporting, AI, and machine learning initiatives.
• Implement data quality frameworks, validation rules, reconciliation controls, and exception management processes.
• Design scalable data models, dimensional schemas, and data marts to optimize reporting and analytical workloads.
• Optimize Spark workloads, SQL queries, storage strategies, partitioning, and data processing performance.
• Administer Databricks workspaces, Fabric capacities, Fabric workspaces, Lakehouses, Data Warehouses, Dataflows, and Pipelines.
• Configure and maintain user access, security groups, RBAC permissions, service principals, and identity integrations.
• Manage secrets, credentials, key vault integrations, and secure access to enterprise data sources.
• Monitor platform health, resource utilization, workload performance, and capacity consumption.
• Perform platform upgrades, feature enablement, release validation, and environment maintenance activities.
• Implement capacity planning, workload management, and resource allocation strategies.
• Support governance initiatives by enforcing workspace standards, naming conventions, tagging, and compliance controls.
• Develop operational runbooks, support procedures, and disaster recovery documentation.
• Monitor data pipelines and platform services to ensure availability and reliability.
• Establish and maintain metadata management, data lineage, cataloging, and governance processes.
• Implement observability, logging, monitoring, and alerting across the data platform ecosystem.
• Drive cost optimization initiatives across compute, storage, Fabric capacities, and Databricks workloads.
• Establish Git-based source control and branching strategies for notebooks, pipelines, and infrastructure components.
• Implement CI/CD pipelines for automated deployment, testing, environment promotion, and release management.
• Develop reusable deployment templates and engineering accelerators for platform consistency and scalability.
• Communicate technical solutions, trade-offs, risks, dependencies, and delivery plans to both technical and non-technical stakeholders.

MINIMUM REQUIREMENTS:

• Bachelor’s degree in computer science, Engineering, Information Systems, Data Engineering, or a related discipline, or equivalent relevant experience.
• 10-15 years of overall relevant experience in data engineering, data platforms, analytics, and cloud technologies.
• Minimum 5+ years of hands-on experience with Databricks and 2+ years Microsoft Fabric environments.
• Proven experience designing and supporting production-grade ETL/ELT and data integration solutions.
• Experience administering enterprise-scale Databricks and Microsoft Fabric platforms.
• Strong experience working with Azure data services and cloud-native architectures.
• Demonstrated experience in stakeholder engagement, solution ownership, and technical leadership.
• Experience mentoring engineers and supporting enterprise platform operations is preferred
• Strong expertise in Databricks, Spark, Delta Lake, Microsoft Fabric, OneLake, Lakehouse, and Data Warehouse architectures.
• Advanced proficiency in Python, PySpark, SQL, and Notebook-based development.
• Expertise in ETL/ELT frameworks, data ingestion patterns, incremental processing, CDC, and data transformation techniques.
• Strong understanding of dimensional modeling, data warehousing, and semantic data structures.
• Experience with batch processing, streaming architectures, and real-time data integration.
• Strong knowledge of Databricks Workspace Administration and Microsoft Fabric Administration.
• Experience managing capacities, workspaces, governance controls, security policies, and platform operations.
• Expertise in Microsoft Entra ID (Azure AD), RBAC, access controls, service principals, and security integration.
• Experience with secrets management, key vaults, credential management, and secure data access.
• Knowledge of platform monitoring, observability, troubleshooting, incident management, and operational excellence.
• Governance & DevOps
• Strong understanding of data governance, metadata management, lineage, data cataloging, and compliance controls.
• Experience with Git, Azure DevOps, CI/CD pipelines, release management, and automated testing.
• Knowledge of Infrastructure as Code, automation frameworks, and deployment standards.
• Experience implementing enterprise data quality and reliability frameworks.
• Experience tuning Spark applications, SQL workloads, storage structures, and distributed compute environments.
• Knowledge of Fabric capacity optimization, Databricks cluster optimization, workload management, and FinOps practices.
• Ability to balance performance, scalability, reliability, security, and cost considerations.
• Ability to work effectively in a fast-paced enterprise environment supporting multiple business priorities.

PREFFERRED CERTIFICATIONS:

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Databricks Certified Data Engineer Associate

The Global Edge Consultants, LLC is an Equal Opportunity Employer. The Global Edge Consultants, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered