Azure Senior Data Technical Specialist

Job description

Azure Senior Data Technical Specialist India Azure Senior Data Technical Specialist Chennai, Tamil Nadu Job Summary Job Title: Senior Databricks Architect (E3.2 Band) About HCLTech HCLTech is a global technology company delivering industry-leading digital, engineering, and cloud solutions. With a strong focus on innovation and customer success, HCLTech enables enterprises to transform through scalable, data-driven platforms. Role Overview As a Senior Databricks Architect (E3.2) , you will take end-to-end ownership of designing and delivering advanced data engineering solutions on Azure. You will play a key role in architecting scalable data pipelines, leading technical discussions, and driving best practices across projects while working closely with business stakeholders and cross-functional teams. Key Responsibilities Key Responsibilities Lead the design and implementation of enterprise-grade data solutions using Azure Databricks Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse Drive data ingestion, transformation, and integration strategies across multiple data sources Provide technical leadership and guidance to junior engineers and project teams Engage with stakeholders to understand business needs and translate them into scalable solutions Optimize performance, cost, and reliability of Azure data platforms Implement CI/CD pipelines and governance using Azure DevOps Ensure adherence to data quality, security, and compliance standards Contribute to solution architecture, design reviews, and technical decision-making Skill Requirements Mandatory Skills Strong expertise in Azure Data Engineering ecosystem : Azure Databricks (advanced implementation & optimization) Azure Data Factory (complex pipeline orchestration) Azure Synapse Analytics Azure Storage / Data Lake (ADLS Gen2) Azure DevOps (CI/CD pipelines) Deep understanding of ETL/ELT frameworks and data modeling concepts Advanced proficiency in SQL and relational databases Strong experience in performance tuning and large-scale data processing Hands-on experience with Python and Spark (PySpark preferred) Experience in solution design and architecture discussions Preferred Skills Experience working in client-facing or consulting roles Exposure to data governance, security, and compliance frameworks Knowledge of real-time/streaming data processing (Kafka/Event Hub) Familiarity with Agile / Scrum methodologies Certification in Azure Data Engineering or Databricks is a plus Educational Qualification Bachelor’s degree in Computer Science / IT / related field Other Requirements Skill Evaluation Matrix (E3.2 Expectations) Databricks, ADF, Synapse, ETL, SQL → Advanced expertise (Rating: 4+) DevOps & Storage → Strong working knowledge (Rating: 3+) Python & Spark → Hands-on implementation (Rating: 3+) Client handling & architecture → Ownership-driven capability 1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.