Posted at: 10 January

AWS Data Architect (Data Lake & SAP)

Company

NorthBay Solutions

NorthBay Solutions is a global B2B technology consulting firm and AWS Premier Partner specializing in AWS-oriented professional services, including AI/ML and cloud migrations, serving diverse industries such as Automotive and Healthcare.

Job Type

Full-time

Allowed Applicant Locations

India

Job Description

Position Overview
We are seeking an experienced AWS Data Architect to design and implement scalable cloud-based data solutions to support enterprise-wide analytics and FP&A processes. This role is based remotely anywhere from India

Qualifications

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.

Experience:

  • 15+ years in Data Architecture, Data Engineering, or Cloud Architecture roles.
  • Proven experience designing and deploying AWS Data Lake / Lakehouse architectures.
  • Strong experience in enterprise-scale data integration and large data processing systems.
  • Experience supporting FP&A, analytics, BI, or enterprise reporting environments is a plus.

Technical Proficiency:

  • Hands-on expertise with AWS services: S3, Glue, Redshift, Lambda, Athena, EMR, Kinesis, Lake Formation, and related tools.
  • Strong programming skills in Python and SQL.
  • Deep knowledge of data modeling, schema design, warehousing concepts, and metadata management.
  • Experience with BI tools such as Tableau, Power BI, or QuickSight.

Soft Skills:

  • Strong communication and stakeholder management skills.
  • Analytical mindset with strong problem-solving abilities.
  • Ability to work in a dynamic environment and adapt to evolving business needs.

Preferred Qualifications

  • AWS certifications such as Solutions Architect, Data Analytics Specialty, or Database Specialty.
  • Familiarity with Agile methodologies and tools like Jira.
  • Experience implementing advanced data security and compliance best practices.

Key Responsibilities

AWS Data Architecture:

  • Design and implement scalable AWS Data Lake and modern data architecture solutions for large-scale data management and analytics.

Data Integration:

  • Build and maintain robust ETL/ELT pipelines using AWS-native tools and modern data engineering frameworks.

  • Ensure data accuracy, consistency, and reliability across ingestion and transformation flows.

Support for FP&A & Analytics:

  • Develop data integration solutions to support FP&A, financial reporting, forecasting, and enterprise decision-making processes.

Cloud Infrastructure Management:

  • Optimize AWS environments for performance, scalability, cost-efficiency, and automation.

Data Governance & Security:

  • Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake.

Collaboration & Stakeholder Engagement:

  • Work closely with business analysts, data engineers, and analytics teams to deliver end-to-end data solutions aligned with business needs.

Why Join Us?

  • Opportunity to work on high-impact AWS data architecture initiatives.
  • Attractive salary and benefits.
  • Career growth in a technology-driven, highly collaborative environment.