AWS Cloud Data Architect

Job Summary (AWS Cloud Data Architect)

• Design & Implement Cloud Data Architectures:
  Lead the design and implementation of scalable, secure, and efficient data platforms on AWS, including migrations from on‑premise to cloud.
• Data Modeling & Management:
  Develop logical and physical data models, database schemas, and storage strategies for both structured and unstructured data; optimize for performance and reliability.
• Business Intelligence Enablement:
  Support analytics initiatives by enabling self‑service BI through curated, governed datasets and semantic layers.
• Data Governance:
  Partner with data domain owners to establish data governance, quality, and sharing policies.
• Pipeline & Integration:
  Design and optimize data pipelines for ingestion, transformation, and enrichment using modern ETL/ELT tools and cloud‑native services.
• Stakeholder
  
  Collaboration:
  
  Work closely with cross‑functional teams and business stakeholders to understand data requirements and deliver solutions.
• Technical Leadership:
  Mentor engineers and analysts; drive architectural innovation and best practices in data management and cloud technologies.
• Continuous Improvement:
  Stay updated on emerging technologies, and continuously enhance data platform capabilities.
• Industry Focus:
  Role requires experience in pharma, biotech, healthcare, or consulting for these industries, especially in regulated environments.
• Key Technologies: AWS (S3, Glue, serverless data components), SQL/No
  
  SQL, Snowflake, Apache Parquet, ETL/ELT tools (DBT, Snap Logic), semantic data models, AI/ML data pipelines.

Requires 5+ years of relevant experience, hands‑on AWS expertise, and proven leadership in cloud modernization. Preferred qualifications include AWS certification, experience with Innovator, regulated environments, and strong communication skills.