Career Category
Engineering
Job Description
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
Role 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 12 - 15 years of experience in Computer Science,
IT
or related field OR
Bachelor’s degree with 14 - 17 years of experience in Computer Science,
IT
or related field
Functional Skills:
Must-Have Skills:
10+ 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.
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
an accommodation
.
.
