Lead Data Engineer – Azure Fabric

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TEKsystems

10,000+ employees

Founded 1983

💼 Consulting

🎯 Recruiter

🏢 Enterprise

Consulting • Recruitment • Enterprise

TEKsystems is a global IT and business services firm that provides technology consulting, talent solutions, managed services and workforce recruitment to enterprise clients. The company delivers cloud, digital and data services (including AI/ML and automation), application innovation, Agile/DevOps transformation, technology operations and digital experience work, and operates large-scale talent and managed service programs. TEKsystems works across industries (financial services, healthcare, public sector, telecommunications, retail/manufacturing, energy and more), maintains technology partnerships with major cloud and software providers, and reports more than $7B in annual revenue and 100+ locations worldwide.

📋 Description

• Gather customer requirements and translate functional requirements into technical solutions • Translate complex technical concepts into actionable stakeholder insights • Participate in architectural discussions and design reliable, secure, scalable, efficient, and cost-optimized data engineering solutions • Design and implement Microsoft Fabric data platform architectures using OneLake, Lakehouse, Fabric Data Factory, Synapse Data Engineering, and Data Warehousing • Develop scalable batch and streaming data ingestion, transformation, and orchestration pipelines • Design high-performance Lakehouse and Warehouse models using medallion architecture and dimensional modeling • Integrate Azure Data Factory, ADLS Gen2, Azure SQL, SQL MI, and optionally Databricks • Build Power BI semantic models and reports integrated with Fabric • Implement CI/CD pipelines using Azure DevOps or GitHub • Ensure data governance, security, and compliance standards • Mentor junior engineers, lead POD delivery, and drive best practices • Contribute to solution accelerators, reusable frameworks, prototypes, pre-sales activities, and emerging technology evaluation • Participate in Agile ceremonies and serve as a technical point of contact for stakeholders and clients • Travel to customer sites as needed, up to 50%

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 8 or more years of experience in Data Engineering • At least 3 or more years of experience in the Azure ecosystem • Strong hands-on expertise in Microsoft Fabric, including OneLake, Lakehouse architecture, Data Factory in Fabric, Synapse Data Engineering/Data Warehousing, and Power BI integration • Proficiency in Python, PySpark, SQL, and Spark-based processing • Strong experience building batch and streaming data pipelines • Expertise in star/snowflake schemas and medallion architecture • Experience with Azure Data Factory/Synapse Pipelines, ADLS Gen2, Azure SQL, and SQL MI • Experience in CI/CD, version control, and DevOps practices • Understanding of data governance, security, access control, RBAC, IAM, and encryption • Experience with structured, semi-structured, and unstructured data sources • Strong problem-solving, communication, and stakeholder management skills • Ability to work cross-functionally with product managers, business stakeholders, and engineering teams • Passion for current cloud and AI/ML technologies and ability to evaluate emerging tools and methodologies • Microsoft certifications are preferred, including Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Azure AI Engineer Associate, and Azure Solutions Architect Expert • Experience with Databricks or Synapse Spark pools is preferred • Familiarity with real-time analytics and streaming architecture is preferred • Exposure to Purview or equivalent data governance tools is preferred • Experience building enterprise-scale data platforms is preferred

🏖️ Benefits

• Medical, Dental, and Vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life and AD&D for employee and dependents) • Short and Long-Term Disability • Health Spending Account (HSA) • Transportation Benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) • Additional earnings may be available through annual bonuses, profit sharing, and other incentive programs • Fully remote position

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