Description

  • Drive adoption of modern data stack technologies and best practices (e.g., data  lakehouse architecture).
  • Partner with product managers, data scientists, analysts, and engineering teams to translate business needs into scalable technical solutions.
  • Mentor data engineers and provide architectural oversight during design, implementation, and deployment phases.
  • Define and enforce standards for access control, quality, cataloging, and observability across domains.
  • Provide hands-on leadership and technical mentorship to Software engineers, data engineers and platform developers.
  • Collaborate with enterprise architecture, security, and infrastructure teams to align with broader org standards and policies.
  • Evaluate emerging tools and technologies in the data ecosystem and recommend solutions to improve scalability, performance, and cost-efficiency.
  • Own architecture documentation and promote reuse of patterns and capabilities across Data Platform.
  • Ensure platform compliance with data privacy and security requirements (e.g., GxP).



Break into Basic Qualifications and Preferred Qualifications



Basic Qualifications:

  • Over 12 years of experience in software engineering, with a strong focus on designing and implementing scalable data architectures. Proven expertise in architecting end-to-end data solutions on AWS
  • Background in architecting and leading self-service data platform capabilities
  • Deep understanding of  data lakehouse architecture
  • Hands-on experience with data services such as AWS Glue, Amazon Redshift, as well as proficiency in Python, SQL, and dbt, spark and apache iceberg
  • Hands-on experience with CI/CD, infrastructure as code, and modern DevOps practices
  • Experience leading teams or mentoring junior engineers.
  • Excellent communication and leadership skills with the ability to influence both technical and non-technical stakeholders



Preferred Qualifications:

  • Experience with data governance frameworks, lineage, cataloging, and metadata management
  • Familiarity with data privacy, compliance, and security best practices.
  • Prior experience working in a highly collaborative environment with product, data science, and analytics teams

Key Skills
Education

Any Gradute

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