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Amgen Inc
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Associate Director - Data Engineering

Associate Director - Data Engineering

Amgen Inc

8 - 13 years

25 - 27 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

presentation skills data warehousing troubleshooting cloud infrastructure ai platform bi microsoft azure power bi machine learning data engineering data bricks tableau automation engineering aws big data data integration informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

What you will do

The Associate Director , Enterprise Data Platforms will help transform Amgens Data, BI & Governance platforms through Cloud Optimization , Automation, SRE & Production Assurance . The Associate Director is responsible for leading the development, implementation and management of optimization, automation and assurance services in support of enterprise-level data platforms that enable the organization's data-driven initiatives. This role will closely collaborate with counterparts in US , and oversee the architecture, design, delivery and maintenance of cloud data platforms and pipelines critical to Amgens data and AI ambitions. The Associate Director will work with cross-functional teams, including data architecture, engineering & governance teams, platform owners, cloud teams and business stakeholders, to ensure sustainable operations, excellent test quality and optimized cloud spend. A key aspect of this role involves extensive experience with Amazon Web Services (AWS) and Databricks, a unified data analytics platform, to optimize big data processing, data integration, and machine learning workflows.

You will be the Enterprise Engineering & Analytics' India Discipline leader for SREs, Automation Engineers and Cloud Engineers with roughly half of your role as management and mentorship and the other half execution as a product manager in a product team.

ROLES & RESPONSIBILITIES

Platform Leadership: Lead the design, implementation, and lifecycle management of enterprise data platforms including:

AWS Cloud Platform: Provisioning, operations, cost optimization, and observability

Databricks: Cluster management, job orchestration, security governance, and platform upgrades

Data Visualization Platforms: Oversight of Tableau, Power BI, and other relevant tools

Data Quality & Governance: Implement and manage tools like Collibra, Informatica DQ, or equivalent

Databases : : Implement and manage Relational, No-SQL & Graph Databases.

Site Reliability Engineering (SRE): Ensure resilience, availability, observability, and automated recovery mechanisms for data platforms. Drive DevOps and IaC (Infrastructure as Code) practices.

Cloud FinOps: Manage cloud spend and optimize cost-performance trade-offs for AWS and Databricks. Establish governance policies and dashboards for consumption tracking.

Operations & Support: Establish and oversee L2/L3 support for platform incidents, SLAs, and maintenance. Ensure platform health, upgrades, patching, and vulnerability remediation.

Innovation & Roadmap Execution: Stay current with cloud-native innovations and establish strategic roadmaps for platform evolution. Lead PoCs and pilot initiatives aligned with business priorities.

Collaboration: Partner with enterprise architects, product owners, engineering teams, and business stakeholders to drive data platform adoption and ensure alignment with enterprise standards.

Team Leadership: Manage a team of platform engineers and vendors across global time zones. Foster a high-performance, inclusive, and collaborative team culture.

Must-Have Skills:

E xperience i n Designing, Implementing & Managing enterprise scale cloud Data, BI platforms, automation engineering, SRE teams for data platforms or applications.

Experience with AWS/Azure, Databricks , PowerBI , Tableau, Informatica platforms

Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices.

Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs.

Experience leading a team of 25+ people.

Basic Qualifications and Experience

Masters degree in business , Information Technology, Computer Science, or a related field and 1 4 + years of relevant work experience

Bachelors degree in business , Information Technology, Computer Science, or a related field and 16+ years of relevant work experience

AWS Cloud Solution Architecture & Administration certifications

Databricks certifications

Soft Skills:

A strong interest and demonstrated excellence in mentoring, helping early career professionals grow their careers.

Excellent analytical and troubleshooting skills.

Strong verbal and written communication skills

Ability to work effectively with global, virtual teams

High degree of initiative and self-motivation.

Ability to manage multiple priorities successfully.

Team-oriented, with a focus on achieving team goals

Strong presentation and public speaking skills.

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Associate Director - Data Engineering