Senior / Lead Azure Data Engineer

Remote, USA Full-time
Senior / Lead Azure Data Engineer (Full Time) Location: Texas (Onsite / Hybrid) Experience: 10–14+ Years Employment Type: Full-Time (Permanent) Visa: H4 EAD, L2S, GC, USC Work Authorization At this time, the client is not able to provide visa sponsorship. Candidates must already have valid and independent U.S. work authorization. Profiles with H4 EAD, L2S, GC, USC, or eligible OPT may be considered based on client approval. No C2C No Consultancy / Third-Party Resumes No Contract Roles Job Summary We are seeking a Senior / Lead Azure Data Engineer with 10–14+ years of overall experience, including strong MNC experience in India, for a long-term full-time role in Texas. Candidates open to relocating to Texas will be given first priority. This role requires hands-on technical depth along with technical leadership, including design ownership, mentoring, and stakeholder collaboration for enterprise-scale Azure data platforms. Key Responsibilities • Lead the design, development, and optimization of enterprise Azure data platforms • Architect and build scalable ETL/ELT pipelines using Azure-native services • Define data engineering standards, best practices, and frameworks • Develop and optimize solutions using batch and real-time data processing • Oversee data ingestion, transformation, validation, and quality frameworks • Drive performance tuning, cost optimization, and scalability improvements • Collaborate with architects, BI teams, data scientists, and business leaders • Ensure data security, governance, and compliance across platforms • Review code, mentor junior engineers, and provide technical guidance • Participate in solution design, sprint planning, and release management • Support production deployments and critical issue resolution Required Technical Skills Azure Data & Analytics Services • Azure Data Factory (ADF) • Azure Synapse Analytics • Azure Data Lake Storage (ADLS Gen2) • Azure Databricks (PySpark / Spark SQL) • Azure SQL Database, Azure SQL Managed Instance • Azure Functions, Logic Apps Programming & Big Data • Python (expert level) • SQL (advanced performance tuning) • PySpark / Spark SQL • Scala (good to have) Data Engineering & Architecture • ETL / ELT design and implementation • Data Warehousing & Lakehouse architecture • Dimensional modeling (Star / Snowflake) • Slowly Changing Dimensions (SCD) • Metadata management and data lineage Streaming & Messaging • Azure Event Hubs • Azure Stream Analytics • Kafka (preferred) DevOps, CI/CD & IaC • Azure DevOps (Repos, Pipelines) • CI/CD for data pipelines • Infrastructure as Code: ARM, Bicep, Terraform • Git version control Security & Governance • Azure Active Directory • RBAC, Managed Identities • Data encryption and access controls • Azure Purview / Microsoft Purview BI & Analytics (Nice to Have) • Power BI (datasets, semantic models) • Integration with reporting and analytics layers Leadership & Soft Skills • Technical leadership and solution ownership • Mentoring and guiding data engineers • Strong stakeholder and client interaction • Architecture and design documentation • Agile / Scrum delivery experience Candidate Requirements • 10–14+ years of hands-on experience in data engineering • Mandatory MNC experience in India • Proven experience leading enterprise-scale Azure data platforms • Strong communication and leadership skills • Willingness to relocate to Texas (preferred) • Available for long-term full-time employment Important Notes • This is a direct full-time role only • Consultancy, staffing, or C2C profiles will not be considered • Candidates requiring current or future visa sponsorship cannot be supported Apply tot his job
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