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Director – Enterprise Data Engineering

IN12 AstraZeneca India Pvt Ltd Company

Full time
Experience
15+ years
Location
Chennai
Work mode
Not stated
Salary
₹6.7L – ₹20L a year estimatetypical for IT Jobs in Tamil Nadu, 38 posts
Posted 2 days ago Last checked 1 day ago

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Role at a glance

You will
  • Build and lead a focused, high-performing team of specialists; set direction on technology perfection across acquisition, storage…
  • Drive adoption through education, enablement, and community practices; measure success through standardization, automation readiness…
Experience
15+ years
Must-have skills
AWSCI/CDData EngineeringService Level Agreements (SLA)dbt

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Job description

Location: Chennai, India

## **Job Title: Director – Enterprise Data Engineering**

**GCL: F**

**Introduction to role:**

Are you ready to define the enterprise standard for data engineering and turn strategy into measurable outcomes that accelerate insights to patients? In this role, you will establish the main direction for data engineering across AstraZeneca. You will be responsible for building and scaling a distributed service that provides trusted, high-quality, secure, and cost-efficient data products at enterprise scale.

You will own the end-to-end build of our data engineering capability. This includes driving visibility and lineage, automated quality controls, FinOps governance, performance SLAs/SLOs, and regulatory compliance across crucial information domains. Working as part of a varied community of specialists, you will connect strategy to execution, partnering across business technology groups to standardize how data is acquired, transformed, orchestrated, and delivered for impact. Can you turn a long-term architecture into reusable accelerators that dozens of teams embrace and love?

## Accountabilities:

  • Define and execute the enterprise data engineering strategy aligned to our 2030 Data Strategy; translate vision into a capability model, adoption roadmap, service tiers, and maturity milestones that build measurable business value.
  • Build and lead a focused, high-performing team of specialists; set direction on technology perfection across acquisition, storage, ingestion, transformation, orchestration, CI/CD, and containerization using Snowflake, Fivetran, Dbt, DataOps.live, and SnowPark Container Services. Govern the standardization of end-to-end data engineering solutions aligned with enterprise architecture; establish enterprise practice as a foundational pillar of data management.
  • Champion automation across the lifecycle—impact analysis, design, build, test, deploy—leveraging AI code generation (for example, Snowflake Cortex Code and GitHub Copilot) to increase velocity and quality while reducing defects and time-to-detect/time-to-resolve.
  • Embed governance-as-code and preventative controls; design pipelines and patterns that achieve close to zero cost leakage on cloud infrastructure, and uplift performance metrics including latency, reliability, and quality through clear SLAs/SLOs.
  • Operate and scale a federated service across business technology groups; enable alignment, capability uplift, and reuse via onboarding kits, templates, and self-service accelerators.
  • Partner with leaders across data, analytics, AI, cloud infrastructure, and enterprise/domain/solution architecture; liaise with procurement, finance, legal, quality, cybersecurity, privacy, and vendor partners to ensure compliant, secure, and value-driven delivery.
  • Drive adoption through education, enablement, and community practices; measure success through standardization, automation readiness, turnaround time to business value, capability maturity, and adoption velocity.
  • Proactively raise, handle, and mitigate risks; ensure alignment to regulatory requirements (including privacy, GxP, SOx, and HIPAA as applicable) without slowing delivery.

## Essential Skills/Experience:

  • Preferably 15+ years in data engineering leadership roles at an enterprise capacity.
  • Strong hands-on experience in data engineering capability involving data acquisition, data storage, data ingestion, data transformation, data orchestration, CI/CD, containerization.
  • Extensive practical experience engaging with Open table standards (for ex, Iceberg) and Open technical catalogs (for ex, Snowflake Horizon).
  • Extensive practical experience handling Structured, Semi-Structured and Unstructured data assets and engineering.
  • Mandatory (Must Have) Skills – Snowflake, Fivetran DBT, DataOps.live, SnowPark Container technology, Apache Iceberg, Snowflake Horizon, Snowflake Cortex software (CoCo), AWS S3.
  • Optional (Nice to Have) Skills – Databricks, Snaplogic, Apache Polaris, GitHub Copilot, Claude Code, AWS Kiro, AWS Redshift, Docker, Kubernetes, MWAA, Apache Airflow, AWS Glue, Databricks Unity Catalog.
  • Expertise with modern data architectures, cloud data platforms and data engineering lifecycle implementation and practices.
  • Solid understanding of metadata, lineage, security classification, FinOps, and SLA/SLO frameworks.
  • Confirmed leadership in large-scale, federated, global technology environments.
  • Ability to influence, educate, and lead change across technical & business teams.
  • Background in regulated industries (Pharma, Healthcare) with Data Privacy, HIPAA, GxP & SOx.

## Desirable Skills/Experience:

  • Track record establishing new capabilities from scratch and scaling globally.
  • Experience defining enterprise service tiers, maturity models, and adoption programs.
  • Proven leadership developing talent and hard-working technical teams.
  • Strong collaborator management and collaboration across matrixed environments.
  • A forward-thinking approach combined with a commitment to taking initiative and delivering tangible outcomes.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.

## Why AstraZeneca:

Here you will build from scratch with a collective of inclusive self-starters who share ideas, challenge with grit, and make bold thinking real. We bring unexpected teams into the same room—engineers, scientists, analysts, and partners—using brand-new data and AI tools to turn complexity into practical insights that help patients sooner. You will work at the heart of our information transformation. u will have the autonomy to set direction and the community support to deliver it. You will balance ambition with care while scaling solutions across a worldwide information ecosystem.

Lead the enterprise backbone supporting data engineering and watch your strategy translate into faster, trusted insights for patients—step forward and build what comes next.

**Date Posted**

12-Nov-2026

**Closing Date**

03-Dec-2026

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We

focus on discovering, developing and commercialising prescription medicines for some

of the world’s most serious diseases. But we are more than one of the world’s leading

pharmaceutical companies.

At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered

to push the boundaries of science, challenge convention and unleash your entrepreneurial

spirit. To embrace differences and take bold actions to drive the change needed to meet

global healthcare and sustainability challenges.

There is no better place to make a difference in medicine, patients, and society. An inclusive

culture where you will connect different thinking to generate new and valuable opportunities.

Where you will find a commitment to lifelong learning, growth and development for all.

Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients.

Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking.

We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions.

As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential.

Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AWSCI/CDData EngineeringService Level Agreements (SLA)dbt

Preferred

AirflowDatabricksDockerKubernetes

Soft skills

Leadership

Job market insights

198active AWS jobs in Chennai
211active CI/CD jobs in Chennai
55active Data Engineering jobs in Chennai
₹6.7L – ₹20L advertised yearly salary for IT Jobs in Tamil Nadu (middle half of 38 posts that show a salary; median ₹15L)

Most IT Jobs posts in Chennai ask for 3–6 years of experience (45% of 790 that say).

Hiring most for IT Jobs in Chennai

  • Cognizant31 open jobs
  • Kyndryl28 open jobs
  • COGNIZANT TECH SOLUTIONS A24 open jobs

Jobs asking for AWS in Chennai also ask for

  • Microsoft Azure54%
  • Python53%
  • Google Cloud Platform (GCP)42%
  • CI/CD42%
  • Java36%

From live job posts on CoreHRx, updated 14 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Director – Enterprise Data Engineering job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹6.7L – ₹20L a year (typical for IT Jobs in Tamil Nadu, 38 posts).

How much experience does this job need?

The post asks for 15 Yrs experience.

Where is this job based?

In Chennai.

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

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  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
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