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Grupo Oxford

Data Engineering Lead

Grupo Oxford

. Lead, mentor, and develop a team of two to four data engineers .

Posted 10/26/2026full-timeRemote • Pennsylvania • United StatesSenior💰 $120,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading data engineering teams, optimizing data platforms, and developing scalable data solutions using Microsoft Fabric and Azure technologies. Proficient in advanced T-SQL, ETL processes, and managing cloud environments while ensuring data quality and compliance.

Highest-signal resume keywords
Microsoft Fabric ExpertiseAdvanced T-SQL SkillsData Pipeline OrchestrationTeam Leadership ExperienceCI/CD and Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringT-SQLETL ProcessesPythonSparkData ModelingAzure SQLAzure Data FactoryTerraformBicep
Soft Skills
Clear CommunicationSound JudgmentInfluencing Stakeholders
Tools & Technologies
Microsoft FabricAzure DevOpsGitHub ActionsADLS Gen2Synapse
Certifications & Qualifications
Microsoft Certified Fabric Analytics Engineer Associate DP-600Fabric Data Engineer Associate DP-700
Industry Keywords
Data QualityData GovernanceCloud Cost ManagementPII HandlingData Migration

Tech Stack

Tools & technologies
AzureCloudERPETLPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact
  • Lead, mentor, and develop a team of two to four data engineers
  • Set clear priorities, plan projects, conduct code reviews, coach team members, and support career development
  • Own platform strategy across Azure and Microsoft Fabric
  • Identify overlapping pipelines, storage, and tooling and create a roadmap to consolidate or retire redundant components
  • Build and mature the Microsoft Fabric platform, including Lakehouse, Warehouse, Data Factory pipelines, and OneLake
  • Define what should remain in Azure and what should move into Fabric
  • Develop complex T-SQL queries, stored procedures, and database solutions
  • Manage, monitor, and optimize SQL Server database environments
  • Design, optimize, test, and maintain stored procedures supporting core ETL processes
  • 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
  • Coordinate with platform owners and downstream stakeholders
  • 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, cloud cost, access, lineage, compliance, and PII handling
  • Evaluate emerging tools and approaches and make build-versus-buy recommendations
  • Communicate priorities, risks, tradeoffs, and progress to technical and nontechnical leaders
  • Report to the Director of Data Operations

Requirements

What you’ll need
  • Five or more years of data engineering experience
  • At least two years leading engineers formally or as a technical lead
  • Strong, hands-on experience using Microsoft Fabric in a production environment
  • Working knowledge of Azure Data Factory, Synapse, ADLS Gen2, and Azure SQL
  • Advanced T-SQL skills, including writing, tuning, testing, and maintaining stored procedure-based ETL at scale
  • Experience orchestrating and monitoring transformation pipelines
  • Ability to diagnose and resolve production failures
  • Proficiency in Python
  • Working knowledge of Spark or PySpark
  • Foundation in dimensional and lakehouse or medallion data modeling
  • Knowledge of modern ETL and ELT design patterns
  • Experience with CI/CD and infrastructure as code
  • Experience using tools such as Azure DevOps or GitHub Actions
  • Experience using Terraform or Bicep
  • Clear communication, sound judgment, and 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 preferred
  • Experience managing data from Salesforce, ATS or VMS platforms, and ERP or finance systems preferred
  • Experience leading a data-platform migration or consolidation preferred
  • Familiarity with applying AI to the data estate preferred
  • Successful completion of a background check

Benefits

Comp & perks
  • 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
  • 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
  • Other health & wellness perks
  • Annual performance-based bonus opportunity of 10% of base salary
  • Flexible spending accounts
  • Health savings accounts
  • Employee tuition reimbursement
  • Student debt assistance
  • Reasonable accommodation for individuals with physical and mental disabilities