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Senior Technical Lead

Date Posted: Oct 13, 2026
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Job Detail

  • location_on
    Location Chennai, Tamil Nadu, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 07, 2026
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Job Description

Job Summary

  • Administer and operate enterprise Databricks workspaces across development, QA, production, and disaster recovery environments.
  • Manage Databricks workspace configuration including clusters, jobs, pools, policies, secrets, and init scripts.
  • Design, configure, and enforce cluster policies to ensure security, stability, and cost control.
  • Manage Databricks compute including autoscaling, instance pools, job clusters, and all‑purpose clusters.
  • Administer Databricks Jobs, Workflows, and scheduling for batch and streaming workloads.
  • Configure and manage Databricks security including workspace access controls, IAM integration, permissions, and secrets management.
  • Implement and manage Databricks Unity Catalog for data governance, access control, and lineage.
  • Configure and support integration with cloud storage (Azure Data Lake, S3, GCS) and external data sources.
  • Administer Delta Lake features including table management, versioning, optimization, and retention policies.
  • Monitor platform health, performance, and availability using logs, metrics, and alerts.
  • Troubleshoot Spark workloads including job failures, performance degradation, memory issues, and scaling problems.
  • Support ML and AI workloads using Databricks ML Runtime, Model Registry, Feature Store, and notebooks.
  • Implement CI/CD processes for Databricks notebooks, jobs, and configurations using Git-based workflows.
  • Manage Databricks REST APIs, CLI tools, and automation scripts for platform operations.
  • Perform capacity planning, usage analysis, and cost optimisation across Databricks environments.
  • Apply platform patches, runtime upgrades, and configuration changes following change management best practices.
  • Act as the escalation point for Databricks production incidents and lead root cause analysis.
  • Maintain operational documentation, standards, and platform runbooks.
  • Collaborate with data engineers, data scientists, MLOps, cloud, and security teams.
  • Provide on‑call production support through a rotation schedule.

Key Responsibilities

Skill Requirements

  • Databricks Administrator or Data Engineer certification.
  • Experience supporting ML and AI workloads on Databricks.
  • Experience with streaming technologies such as Spark Structured Streaming or Kafka.
  • Familiarity with Infrastructure as Code tools such as Terraform for Databricks.
  • Experience working in regulated or security‑sensitive environments.
  • Familiarity with ITIL‑based enterprise service management processes.

Other Requirements

Source: HCLTech careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

HCLTech
HCLTech · Noida, Uttar Pradesh, India
4,246 open roles

HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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