Senior Manager Data Engineer
Reads like a Data Leadership role: running a data team.
India - Hyderabad
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are seeking a seasoned Sr Manager Data Engineer to lead the design, development, and implementation of our data strategy.
Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
Design and implement data architectures and platforms for business goals
Oversee development and optimization of data pipelines and integrations
Establish data governance policies covering quality, security and compliance
Mentor and lead the data engineering team
Architect and manage cloud-based data solutions
From the employer’s posting
We are seeking a seasoned Sr Manager Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.
Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
Design, develop, and implement robust data architectures and platforms to support business objectives.
Oversee the development and optimization of data pipelines, and data integration solutions.
Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
Provide expert guidance and mentorship to the data engineering team
Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
Education & alternatives
Education and Professional Certifications - Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 11+ years' experience Or Bachelor’s degree and 12+ years' experience - AWS Certified Data Engineer preferred
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Spark
- Airflow
- PySpark
Source — Tool mentions in context
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. - Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning. - Proven ability to lead and develop high-performing data engineering teams.
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance. - Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms. - Lead and motivate a high-performing data engineering team to deliver exceptional results.
Must-Have Skills: - Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. - Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops - Experienced with AWS, GCP or Azure cloud services Education and Professional Certifications
- Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 11+ years' experience Or Bachelor’s degree and 12+ years' experience - AWS Certified Data Engineer preferred - Databricks Certificate preferred
- AWS Certified Data Engineer preferred - Databricks Certificate preferred Soft Skills:
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases - Experienced with Apache Spark, Apache Airflow - Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
About Amgen
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Oct 13, 2026 · 15 days ago
- Recorded sightings
- 52
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Career Category
Information SystemsJob Description
Role Name: Sr Manager Data Engineer
Department Name: Sales Insight
Role GCF: 6A
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
We are seeking a seasoned Sr Manager Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.
Roles & Responsibilities:
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
- Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
- Design, develop, and implement robust data architectures and platforms to support business objectives.
- Oversee the development and optimization of data pipelines, and data integration solutions.
- Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
- Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
- Lead and motivate a high-performing data engineering team to deliver exceptional results.
- Identify, analyze, and resolve complex data-related challenges.
- Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
- Stay abreast of emerging data technologies and explore opportunities for innovation.
Functional Skills:
Must-Have Skills:
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
- Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
- Proven ability to lead and develop high-performing data engineering teams.
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
Good-to-Have Skills:
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases
- Experienced with Apache Spark, Apache Airflow
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
- Experienced with AWS, GCP or Azure cloud services
Education and Professional Certifications
- Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 11+ years' experience Or Bachelor’s degree and 12+ years' experience
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
Soft Skills:
- 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.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with 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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- Location & working pattern
India - Hyderabad
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