Position Summary
As a Senior Data Architect, you will shape the foundation of
company’s data ecosystem, driving innovative solutions that the company teams
to unlock insights and achieve business goals. This role is pivotal in
designing scalable, efficient data architectures while fostering collaboration
and mentorship across teams. Join us in advancing our mission to create
affordable, life-changing medications by leveraging data to make healthier,
happier lives a reality.
Duties and Responsibilities
- Design,
develop, and optimize data architectures and pipelines that align with
Extract, Load, Transform (ELT)/Extract, Transform, Load (ETL) principles,
ensuring scalability and business alignment.
- Solve
complex data challenges to deliver actionable insights and create data
products that enhance analytics and data science productivity.
- Mentor
and advise teams on data standards, fostering a culture of collaboration,
efficiency, and reusability in data and analytical solutions.
- Evaluate,
implement, and deploy emerging data engineering tools and processes while
partnering with technical teams to develop architectures for strategic
enterprise initiatives.
- Ensure
compliance with healthcare data regulations such as the Health Insurance
Portability and Accountability Act, Protected Health Information, and
Personally Identifiable Information.
While performing the responsibilities of the job, the
employee is required to talk and hear. The employee is often required to remain
in a stationary position for a significant amount of the workday and frequently
use their hands and fingers to handle or feel in order to access, input, and
retrieve information from the computer and other office productivity devices.
The employee is regularly required to move about the office and around the
corporate campus. The employee is regularly required to stand, walk, reach with
arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.
Knowledge and Skills
- Proficiency
in data lake architecture, big data development (e.g., Spark, Kafka), BI
tools like Power Business Intelligence and Looker, and designing
operational infrastructure for machine learning and advanced analytics.
Key Competencies
- Customer
Focus: Ability to build strong customer relationships and deliver customer
centric solutions.
- Optimizes
Work Processes: Know the most effective and efficient processes to get
things done, with a focus on continuous improvement.
- Collaborates:
Builds partnerships and works collaboratively with others to meet shared
objectives.
- Resourcefulness:
Secures and deploys resources effectively and efficiently.
- Manages
Complexity: Makes sense of complex, high quality, and sometimes
contradictory information to effectively solve problems.
- Ensures
Accountability: Holds self and others accountable to meet commitments and
objectives.
- Situational
Adaptability: Adapts approach and demeanor in real time to match shifting
demands of different situations.
- Communicates
Effectively: Develops and delivers multi-mode communications that convey a
clear understanding of the unique needs of different audiences.
Values
- People:
Our people define who we are as a company, and we believe that
understanding and addressing the needs of our team, clients, and community
is fundamental to fostering a culture of support and growth.
- Quality:
Quality stands at the core of our mission, reflecting our commitment to
excellence in every medication we produce.
- Service:
We are here to serve others. Every interaction with our patients,
providers, employees and other stakeholders comes from a place of service.
- Innovation:
By continuously exploring new methodologies and embracing technology, we
ensure that every solution we offer is at the forefront of pharmaceutical
care.
Experience and Qualifications
- Minimum
of 5 years of experience as a data architect in analytical and data
sciences environments, including 5 years in data engineering or
architectural roles.
- Master’s
degree in Computer Science or Computer Engineering with 10 years of
experience, or a Bachelor’s degree in Computer Science or Computer
Engineering with 15 years of experience.
- Extensive
expertise in Structured Query Language, Enterprise Data Warehouse,
ELT/ETL, and data governance, with experience in programming languages
(Python or Scala preferred) and database technologies such as Snowflake,
BigQuery, relational, Not Only Structured Query Language, and cloud-based
data platforms.