Data Engineering Lead
Oxford Global Resources
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Benefits offered by this job
Job summary
Oxford Global Resources is seeking a hands-on Data Engineering Lead to guide a small team and shape Oxford’s enterprise data platform. You will drive architecture, development, troubleshooting, and delivery across Azure, Fabric, and related services.
Lead platform strategy, optimize pipelines, and ensure reliable data products for analytics. Strong T-SQL, Python, and CI/CD experience are essential for success in this role.
Qualifications
- Five or more years of data engineering experience, including at least two years leading engineers or as a technical lead.
- Hands-on experience using Microsoft Fabric in a production environment.
- Knowledge of Azure data services and integration with Fabric.
- Advanced T-SQL skills for ETL at scale.
- Experience orchestrating and monitoring transformation pipelines.
Responsibilities
- Lead, mentor, and develop a team of data engineers with clear priorities and career growth.
- Own platform strategy across Azure and Fabric, consolidating pipelines and components.
- Build and mature Fabric platform including Lakehouse, Warehouse, pipelines, and OneLake.
- Develop and optimize SQL Server environments for performance and reliability.
- Design, test, and maintain ETL processes with version control.
- Manage end-to-end transformation pipelines, scheduling, monitoring, and recovery.
- Lead change management for upstream source changes to avoid business disruption.
- Establish standards for data quality, testing, observability, security, and CI/CD.
- Collaborate with analysts and BI teams to translate requirements into data products.
- Oversee platform reliability, costs, governance, and PII handling.
Skills
Tools
Job description
Join our team and experience how we lead with passion, positivity, and accountability to deliver the Right Talent. Right Now. We create an environment where you can think big, have fun and truly make a difference.For more than 40 years, Oxford Global Resources has helped organizations solve complex business and technical challenges by connecting them with specialized expertise. We work across industries including technology, life sciences, engineering, and healthcare, providing services that range from individual staffing support to co-managed projects and fully managed programs.Our work is built on understanding what each organization needs and bringing the right people and approach to the challenge. Behind that work are teams across Oxford who strengthen how we operate, support our people, and help us deliver for clients. If you’re looking for a place where your work connects to a larger purpose and has a visible impact, there’s an opportunity to do that here.
We’re looking for a hands‑on Data Engineering Lead to guide our data engineering team and shape the next stage of Oxford’s enterprise data platform. Reporting to the Director of Data Operations, you’ll lead a team of two to four engineers while remaining closely involved in architecture, development, troubleshooting, and delivery.
Oxford’s data environment spans Azure and Microsoft Fabric. Your mandate is to connect those ecosystems thoughtfully, reduce redundancy, and build a clear path toward a strong, consolidated Fabric platform without disrupting the business. You’ll set engineering standards, strengthen platform reliability, and partner across analytics, technology, and the business to turn changing requirements into dependable data products.
Remote, Eastern U.S. | Exempt | Reports to the Director of Data Operations
- Lead, mentor, and develop a team of data engineers through clear priorities, project planning, code reviews, coaching, and career development.
- Own the platform strategy across Azure and Microsoft Fabric, identifying overlapping pipelines, storage, and tooling and creating a practical roadmap to consolidate or retire redundant components.
- Build and mature Oxford’s Microsoft Fabric platform, including Lakehouse, Warehouse, Data Factory pipelines, and OneLake, while defining what should remain in Azure and what should move into Fabric.
- Develop complex T-SQL queries, stored procedures, and database solutions while managing, monitoring, and optimizing SQL Server database environments for performance, reliability, and scalability.
- Design, optimize, test, and maintain the stored procedures that support Oxford’s core ETL processes, with disciplined version control and performance management.
- Manage transformation pipelines end to end, including orchestration, scheduling, monitoring, failure handling, troubleshooting, and recovery.
- Lead impact analysis and change management for major upstream source-system changes, coordinating with platform owners and downstream stakeholders so the warehouse adapts before the business is disrupted.
- Establish and reinforce standards for data quality, testing, observability, documentation, security, and CI/CD.
- Partner with analysts, BI developers, technical teams, and business stakeholders to translate requirements into reliable, scalable data products.
- Manage platform reliability, performance, and cloud cost while applying sound governance practices around access, lineage, compliance, and PII handling.
- Evaluate emerging tools and approaches, make clear build-versus-buy recommendations, and communicate priorities, risks, tradeoffs, and progress to technical and nontechnical leaders.
- Five or more years of data engineering experience, including at least two years leading engineers formally or as a technical lead.
- Strong, hands‑on experience using Microsoft Fabric in a production environment, beyond evaluation or proof‑of‑concept work.
- Working knowledge of Azure data services, including Azure Data Factory, Synapse, ADLS Gen2, and Azure SQL, and how those services integrate with or overlap Microsoft Fabric.
- Advanced T-SQL skills, including experience writing, tuning, testing, and maintaining stored procedure-based ETL at scale.
- Experience orchestrating and monitoring transformation pipelines, with a demonstrated ability to diagnose and resolve production failures.
- Proficiency in Python and working knowledge of Spark or PySpark.
- A strong foundation in dimensional and lakehouse or medallion data modeling, along with modern ETL and ELT design patterns.
- Experience with CI/CD and infrastructure as code, using tools such as Azure DevOps or GitHub Actions and Terraform or Bicep.
- Clear communication, sound judgment, and the ability to influence stakeholders while balancing hands‑on delivery with team leadership.
- Microsoft Certified Fabric Analytics Engineer Associate DP-600 or Fabric Data Engineer Associate DP-700 certification.
- Experience managing data from enterprise source platforms such as Salesforce, ATS or VMS platforms, and ERP or finance systems, ideally in staffing or business services.
- Experience leading a data‑platform migration or consolidation.
- Familiarity with applying AI to the data estate, including grounding large language models and natural‑language query tools in governed semantic models and evaluating the accuracy of AI-generated answers.
The reasonably expected annual base compensation range for this position is $120,000-$150,000. This range reflects the minimum and maximum targets for new hires across the United States. Within the range, individual compensation is determined by job‑related skills, experience, geographic location, and applicable state or local laws.
This position may also be eligible for an annual performance‑based bonus opportunity of 10% of base salary, resulting in potential total annual cash compensation of approximately $132,000-$165,000. Bonus eligibility and payments are subject to the terms of the applicable incentive compensation plan.
- Health, dental, and vision coverage
- Flexible Spending Account (FSA)
- 401(k)
- Health Reimbursement Account (HRA)
- Health Savings Account (HSA)
- life insurance
- disability insurance
- paid parental leave
- holiday pay
- and vacation and sick time
- Observed company holidays
- up to 3 floating holidays
- community and social events
- learning and development
- $100 per month student loan payment contribution
- tuition reimbursement opportunity
- access to Employee Assistance Program
- and other health & wellness perks
Disclaimer:Employment is contingent upon successful completion of a background check conducted in accordance with applicable law. Depending on the requirements of the position, the background check may include, but is not limited to verification of employment history, education, criminal history, motor vehicle records, credit history, and other job‑related information. Motor vehicle record and credit checks will be conducted only when relevant to the duties and responsibilities of the role.
Direct applicants only; no recruitment agencies or third‑party recruiters, please.
Oxford is an Equal Employment Opportunity Employer.
All qualified applications will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Oxford will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
Oxford is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email . We will make a determination on your request for reasonable accommodation on a case‑by‑case basis.
Know Your Rights | Pay Transparency | Employee Rights Under the National Labor Relations Act
$120,000.00-$150,000.00 Annual
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