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Amgen
Amgen

Multinational biopharmaceutical company.

Associate Director - Data Engineering

직무데이터 엔지니어링
경력디렉터급
위치Hyderabad, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

의료보험

401k

스톡옵션

교육비 지원

필수 스킬

AWS

Azure

Databricks

PowerBI

Tableau

Informatica

Cloud Infrastructure

Data Warehouse

Data pipelines

SRE

DevOps

Infrastructure as Code

Team Leadership

Career Category

Engineering

Job Description

Join Amgen’s Mission of Serving Patients:

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

The Associate Director, Enterprise Data Platforms will help transform Amgen’s 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 Amgen’s 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 SRE’s, 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 Fin Ops: 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 Po Cs 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:

  • Experience in 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

  • Master’s degree in business, Information Technology, Computer Science, or a related field and 14+ years of relevant work experience

  • Bachelor’s 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.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply nowfor a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Amgen 소개

Amgen

Amgen

Public

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

직원 수

Thousand Oaks

본사 위치

$138B

기업 가치

리뷰

24개 리뷰

3.6

24개 리뷰

워라밸

3.2

보상

3.5

문화

3.1

커리어

2.8

경영진

3.4

65%

지인 추천률

장점

Excellent benefits and health benefits

Good pay and compensation

Supportive management and leadership

단점

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

연봉 정보

1,002개 데이터

L2

L6

L3

L4

L5

L2 · Financial Analyst L2

0개 리포트

$94,068

총 연봉

기본급

$37,627

주식

$47,034

보너스

$9,407

$65,848

$122,288

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Final Round/Panel Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Culture Fit