The Opportunity

As a Data Engineer, you will support data operations and ETL workflows, ensuring robust data pipelines and reliable analytics environments. You will work closely with cross-functional teams to maintain data quality, troubleshoot issues, and enable data-driven decision-making across the organization.

Operational Leadership

- Own end-to-end health of Databricks, Informatica, and Airflow environments used for commercial data operations.
- Monitor daily pipeline performance and drive MTTA / MTTR improvements through automation and proactive analysis.
- Oversee incident response, RCA documentation, and recurring issue elimination.
- Maintain and evolve operational dashboards and SLA tracking metrics.
- Review and approve all production change requests and deployments.
- Maintain pipelines that meet business needs, adhere to Takeda standards, and incorporate best practices exploiting the benefits of cloud-nativity
- Lead technical solution reviews with stakeholders
- Directly support or coordinate with the help of DD&T; SMEs complex data challenges to find fit-for-purpose solutions
- Take full accountability of data products and help plan, mature, and support for ongoing operation of KPIs for quality and availability
- Work with DevOps teams to operationalize data products and help in troubleshooting when needed

People & Process Management
- Lead and mentor a team of 48 DataOps Engineers (Databricks + ETL + Airflow).
- Establish 24x7 monitoring coverage , on-call rotation, and escalation protocols.
- Drive standardization via runbooks , RCA templates , and knowledge bases .
- Define KPIs such as SLA adherence, job success rate, MTTA, MTTR, and recurring issue trend reduction.
- Advise, consult, mentor and coach other data and analytic professionals

Cross-Functional Collaboration
- Partner with data architects, analysts, and business owners to ensure operational readiness of current data pipelines.
- Collaborate with CloudOps , Security,



and Platform Engineering on system reliability and cost optimization.
- Serve as the primary contact for incident communications to business stakeholders.

Continuous Improvement & Automation
- Identify repetitive manual tasks and partner with engineers to automate them (e.g., job restarts, data validations, alerts).
- Promote best practices for observability, cost governance, and data quality monitoring.
- Analyze production metrics and recommend processes or tool improvements.
- Help adopt changes in solutioning and ways of working
- Stay current with relevant data providers and technology trends

Key Skills & Competencies
- Databricks Operations: Working knowledge of clusters, jobs, workflows, and Delta Lake; able to guide troubleshooting and optimizations.
- ETL Platform Management: Experienced in managing Informatica (BDM/IICS) operations at scale.
- Workflow Orchestration: Familiarity with Airflow DAGs, dependencies, and failure handling.
- Operational Metrics: Strong understanding of MTTA, MTTR, SLA adherence, and trend reporting.
- Incident & Problem Management: Leads RCA reviews; ensures lessons learned are acted upon.
- Leadership:Coaches engineers on structured problem-solving and incident ownership.
- Communication: Effective communicator with both technical and business stakeholders; translates incidents into business terms.
- Domain Knowledge (Nice to Have):Understanding of Pharma commercial data flows (Sales, CRM, MDM, IQVIA feeds).

Experience Profile

Experience in Data Operations / Data Engineering. Minimum years of experience managing production data environments (Databricks, ETL, or Cloud Data Ops). Proven track record of reducing MTTR, increasing job success rates, and improving operational maturity. Prior experience in Pharma or Life Sciences preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineering Manager (Bengaluru)
🏢 Takeda Pharma Vertrieb
📍 Bengaluru