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JMAN Group - Data Engineering Delivery Manager

JMAN Group - Data Engineering Delivery Manager

JMan GroupChennai
25 days ago
Job description

Job Description :

  • 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment.
  • Experience in managing support for modern data platforms across Azure, Databricks, Fabric, or Snowflake environments.
  • Strong understanding of data engineering and analytics concepts, including ELT / ETL pipelines, data warehousing, and reporting layers.
  • Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations.
  • Hands-on understanding of SQL and scripting languages (Python preferred) for debugging / troubleshooting.
  • Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus.
  • Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric.
  • Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty).
  • Circulation Limited : Internal Version 1.0 June 2025 2
  • Strong stakeholder communication, documentation, and presentation skills.
  • Experience working with global teams and collaborating across time zones.

Responsibilities :

  • Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently.
  • Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices.
  • Coordinate triaging and resolution of incidents and service requests raised by client stakeholders.
  • Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs.
  • Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high quality delivery and adherence to standards.
  • Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs.
  • Ensure documentation is up to date for architecture, SOPs, and common issues.
  • Contribute to service reviews, retrospectives, and continuous improvement planning.
  • Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders.
  • Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads.
  • Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture.

    • Required Skillset :

  • ETL or ELT : Azure Data Factory, Databricks, Synapse, dbt (any two Mandatory).
  • Data Warehousing : Azure SQL Server / Redshift / Big Query / Databricks / Snowflake (Anyone - Mandatory).
  • Data Visualization : Looker, Power BI, Tableau (Basic understanding to support stakeholder queries).
  • Cloud : Azure (Mandatory), AWS or GCP (Good to have).
  • SQL and Scripting : Ability to read / debug SQL and Python scripts.
  • Monitoring : Azure Monitor, Log Analytics, Datadog, or equivalent tools.
  • Ticketing & Workflow Tools : Freshdesk, Jira, ServiceNow, or similar.
  • DevOps : Containerization technologies (e.g., Docker, Kubernetes), Git, CI / CD pipelines

    • (ref : hirist.tech)

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    Manager Data Engineering • Chennai