Hyderabad, Telangana
Job Summary
Job Title: Senior Databricks Engineer (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 Engineer (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.
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