Summary role description:

Hiring an Operations lead for a fast-growing data analytics and AI consulting firm delivering modern cloud data platforms and analytics solutions for enterprise clients.

Company description:

Our client is a fast-growing data analytics and AI consulting firm headquartered in Australia, with a strong delivery presence in India and the U.S. They specialise in modern data platforms, cloud analytics, and machine learning solutions across Azure, AWS, Databricks, and Snowflake. The firm works with enterprise clients across financial services, government, healthcare, and retail, helping organisations modernise their data ecosystems and drive insight-led digital transformation.

Role details:

• • • • Title / Designation: Operations Lead
      • Location:  Chennai (Hybrid)

Role & responsibilities:

• Lead delivery across multiple data engineering and analytics projects.
• Review architecture, code quality, and platform design decisions.
• Support debugging, optimization, and stabilization of data pipelines.
• Improve platform reliability, SLAs, data quality, and governance standards.
• Standardize CI/CD, DevOps, and operational best practices.
• Handle production escalations and ensure smooth delivery operations.
• Mentor engineering teams and drive engineering maturity.
• Collaborate with cross-functional teams to ensure successful project execution.
• Drive operational excellence across cloud data platforms and analytics ecosystems.

Candidate requirements:

• 5+ years of experience in Data Engineering / Platform Engineering.
• 2+ years of experience leading multi-project technical delivery.
• Strong hands-on coding expertise in Python and SQL.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of Spark, Databricks, Snowflake, BigQuery, Synapse, or Redshift.
• Exposure to orchestration tools such as Airflow, ADF, or Prefect.
• Familiarity with Kafka/Kinesis/PubSub, CI/CD, Docker, Terraform, and DevOps practices.
• Strong problem-solving, stakeholder management, and communication skills.
• Ability to work effectively in high-pressure production environments.

Selection Process:

• Two Technical Interview
• HR Interview

Recruiter Details:

• [email protected]