AWS Cloud Data Architect

Largeton Group; Ridgefield (CT); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech consultancy in Ridgefield seeks an AWS Cloud Data Architect with over 5 years of experience in designing and implementing scalable data solutions. Responsibilities include optimizing data platforms, developing data models, and enabling business intelligence through self-service BI initiatives. The ideal candidate has strong AWS expertise, leadership skills, and experience in regulated environments like pharma or healthcare. This role offers the chance to work with cutting-edge technologies and lead architectural practices.

Qualifications

• 5+ years of relevant experience specifically in AWS data architectures.
• Hands-on experience with cloud modernization and data platforms.
• Preferred qualifications include AWS certification and strong communication skills.

Responsibilities

• Design and implement scalable cloud data architectures on AWS.
• Develop logical and physical data models for varied data types.
• Support analytics initiatives through governed datasets.
• Establish data governance and quality policies in collaboration with domain owners.

Skills

AWS expertise

Data modeling

ETL/ELT tools

Stakeholder collaboration

SQL/NoSQL

Data governance

Technical leadership

Emerging technologies

Tools

Snowflake

Apache Parquet

DBT

SnapLogic

Job description

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/NoSQL, Snowflake, Apache Parquet, ETL/ELT tools (DBT, SnapLogic), semantic data models, AI/ML data pipelines.

Note

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.