Associate Principal Data and Analytics Platforms Architect

* If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!*### ### Our compensation reflects the cost of labor across several

U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $182,000 - $259,000 annually. The base pay range may take into account the candidate’s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate’s geographic region, job-related knowledge, skills, experience and internal equity, among other  addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.###

** DISCLAIMER
* * The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
*** We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
***** ESSENTIAL TECHNICAL

DUTIES AND RESPONSIBILITIES:

*** Create and lead the implementation of robust, scalable, and secure data architecture strategies on AWS and Databricks to support advanced analytics and AI/ML initiatives.
* Design and implement data ingestion, processing, storage, and reporting solutions leveraging AWS services like S3, Glue, Redhsift, Lake Formation, Athena Kinesis, MSK, EC2, ECS, Data Bricks
* Provide expert guidance and hands-on development on the AWS and Databricks data technologies
* Develop and maintain conceptual, logical, and physical data models, and design data lakes and data warehouses for optimal performance.
* Establish and enforce data governance policies, data quality standards, security protocols, and compliance frameworks (e.g., FAIR, GxP, HIPAA, IAM, Data Mesh).
* Implement and manage AWS Lake Formation and Databricks Unity Catalog to enable centralized, fine-grained data governance across all data assets.
* Design and develop scalable and resilient application compute infrastructure using AWS EKS and ECS
* Lead the development of automated CI/CD pipelines for notebooks, jobs, and infrastructure-as-code for AWS, DBT, and Databricks environment.
* Utilize tools like Git Hub Actions or Jenkins to automate deployments and promote consistent releases.
* Manage and optimize AWS, Databricks and other data platform resource utilization to maintain cost-effectiveness
* Design and implement a multi-layered Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality and reliability.
* Develop and publish data engineering best practices and patterns
** EXPERIENCE/KNOWLEDGE &

SKILLS:

*
* Experience:

* Proven experience architecting and implementing lake house architectures on AWS data technologies (Glue, Lake Formation, Red Shift, Athena) and Databricks
* Proven experience designing, developing, and managing data engineering pipelines at scale
* Expertise in various data modeling techniques (conceptual, logical, and physical)
* Expertise in programming languages and frameworks such as DBT, Python, Spark

SQL and SQL
* Deep knowledge of the AWS services, including IAM, security, data storage, data processing, compute, and…