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Amgen
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Principal Architect - Data Architecture & Engineering

Principal Architect - Data Architecture & Engineering

Amgen

8 - 10 years

22 - 27 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Principal Architect Data management Enterprise architecture TOGAF data security Consulting Cloud Manager Technology AWS Data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a seasoned and passionate Principal Architect (Enterprise Architect - Data Platform Engineering ) in our Data Architecture & Engineer ing group to drive the architecture, development and implementation of our strategy spanning across Data Fabric, Data Management, and Data Analytics Platform stack . The ideal candidate possesses a deep technical expertise and understanding of data and analytics landscape, current tools and technology trends, and data engineering principles, coupled with strong leadership and data-driven problem-solving skills . As a Principal Architect , you will play a crucial role in building the strategy and driving the implementation of best practices across data and analytics platforms .

Roles & Responsibilities:

Must be passionate about Data, Content and AI technologies - with ability to evaluate and assess new technology and trends in the market quickly - with enterprise architecture in mind

Drive the strategy and implementation of enterprise data platform and technical roadmaps that align with the Amgen Data strategy

Maintain the pulse of current market trends in data & AI space and be able to quickly perform hands-on experimentation and evaluations

Provide expert guidance and influence the management and peers from functional groups with Enterprise mindset and goals

R esponsible for design, develop , optimize , delivery and support of Enterprise Data platform on AWS and Databricks architecture

Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.

Advice and support Application teams (product managers, architects, business analysts, and developers) on tools, technology, and methodology related to the design and development of applications that have large data volume and variety of data types

Collaborate and align with EARB, Cloud Infrastructure , Security and other technology leaders on Enterprise Data Architecture changes

Ensure scalability, reliability, and performance of data platforms by implementing best practices for architecture, cloud resource optimization, and system tuning.

Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible.

Basic Qualifications and Experience:

Master s degree with 8 - 10 years of experience in Computer Science, IT or related field OR

Bachelor s degree with 10 - 14 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

8 + years of experience in data architecture and engineering or related roles with hands-on experience building enterprise data platforms in a cloud environment (AWS, Azure, GCP).

5+ years of experience in leading enterprise scale data platforms and solutions

Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments.

Deep understanding of distributed computing, data architecture, and performance optimization in cloud-based environments.

Experience with Enterprise mindset / certifications like TOGAF etc. are a plus.

Highly preferred to have Big Tech or Big Consulting experience.

Solid knowledge of data security, governance, and compliance practices in cloud environments.

Must have exceptional communication to engage and influence architects and leaders in the organization

Good-to-Have Skills:

Experience with Gen AI tools in databricks

Experience with unstructured data architecture and pip elines

Experience working with agile development methodologies such as Scaled Agile.

Professional Certifications

AWS Certified Data Engineer preferred

Databricks Certifi cate 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.

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Principal Architect - Data Architecture & Engineering