Job Details

Associate Principal Architect, Data And Analytics Platforms

The Associate Principal Architect, Data And Analytics Platforms will support the design and creation of cloud-based products and services to meet the technology needs of Exelixis. This position will help define and design our cloud platform, which includes cloud automation tools and standards, CI/CD pipelines, DevOps tooling and AWS account provisioning automation. This position will also work with application support teams to re-define the interface between our cloud platform products and application installation and configuration processes.

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, Redshift, 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 GitHub 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, RedShift, 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, SparkSQL and SQL
• Deep knowledge of the AWS services, including IAM, security, data storage, data processing, compute, and analytics services.
• Strong understanding of modern data architecture patterns (e.g., data mesh, lakehouse).
• Hands-on experience with big data technologies like Apache Spark, AWS Glue, DataBricks, Apache Iceberg, and Delta Tables
• Certifications: Professional AWS and Data Bricks certifications are highly valued and relevant.

Essential Duties/Responsibilities:

• Product Strategy & Product Road Map: Supports the translation of overall direction and strategy and communicates across organizational levels and functions.
• Product Development & Delivery: Guides the successful completion of major initiatives or programs and leads large complex projects.
• Stakeholder Management & Cross-Functional Collaboration: Translates overall direction and strategy and communicates across organizational levels, to influence executives when needed.
• Operational Excellence, Quality & Compliance: Own the oversight of documentation of infrastructure and work instructions for systems and applications.
• Subject Matter Expertise: Serve as the SME for general engineering issues and platform strategy.

Education/Experience/Knowledge & Skills:

• Education: Master's degree in a relevant field and 9 years of experience; or Bachelor's degree in a relevant field and 11 years of related experience; or Equivalent combination of education or years of experience Technical certification may be required
• Experience: At least 10 years of experience in cloud infrastructure in a highly available and production environment. Experience working in a SOX and FDA regulated environment is a plus.
• Knowledge, Skills and Abilities: Advanced level knowledge of Amazon Web Services (AWS), especially with services related to hosting: EC2, RDS, Systems Manager, IAM, etc. Advanced level knowledge with infrastructure as code (IaC) tools, especially Terraform. Intermediate level knowledge with cloud and infrastructure automation. Intermediate level knowledge of modern development and deployment practices of continuous integration and continuous deployment.

Work Environment/Physical Demands: Our office is a modern, open-plan space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. This position will require minimal travel.