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AWS Data Architect

Job in Schenectady, Schenectady County, New York, 12301, USA
Listing for: Vertical Relevance
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Summary

Vertical Relevance is looking for a Multi Cloud Data Architect, to join our team as a full-time employee and work remotely. This person is responsible for the end-to-end planning, building, and deploying of software systems. Candidate will be able to drive the programming of well-constructed, testable code. As a Multi Cloud Data Architect, you will implement technical solutions as part of a team for customer engagements.

This role requires strong teamwork, communication, patience and organizational skills needed to drive customer success.

At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team?

Responsibilities
  • Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”.
  • Consult, plan, design, and implement data solutions on the cloud for customers.
  • Design AWS Data Lake implementations
  • Design and Develop AWS Data Quality and Governance solutions
  • Become a deep technical resource that earns our customer’s trust
  • Develop high-quality technical content such as automation tools, reference architecture, and white papers to help our customers build on the cloud
  • Innovate on behalf of customers and translate thoughts into action yielding measurable results.
  • Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
  • Assist with technical briefs that document solutions
  • Assist with reference architecture implementations
  • Support internal and external brand development through thought leadership: work with Marketing/Alliances to write blog posts and develop internal case studies
Qualifications
  • Professional experience architecting/operating Data / Dev Ops solutions built on AWS and Azure.
  • Experience in software/technology customer-facing roles.
Sample Activities You’ll Do
  • AWS Data Architecture and Data Lake Implementation:
    Assist Customer in building a framework for data collection, ingestion, catalog, storage and serving designed to optimize access, curation, and analysis from on-premises data sources.
  • Assist Customer with implementing Amazon VPC, S3 bucket strategy and data lake data flows.
  • Assist Customer with achieving modern big data lambda architecture for batch or streaming data.
  • Assist Customer with defining detailed data architecture including raw, conformed, structured, enriched, and aggregated data.
  • Provide Customer best practices for building production-quality data pipelines for ingestion, transformation and consumption to downstream applications through a serving layer.
  • Assist Customer with data catalog and data serving layer details via APIs if required.
  • Provide Customer best practices for S3 data storage approach.
  • Ingestion and Orchestration:
    Build a reusable ingestion framework to onboard new data quickly based on one data source example, with monitoring, logging and retry capabilities.
  • Explore serverless approaches where applicable.
  • Build the framework for managing data updates to data stored in objects on Amazon S3.
  • Orchestration:
    Provide best practices to implement an extensible and supportable orchestration framework for onboarding data to lambda architecture.
  • Advise on AWS data ingestion tools (Kinesis, EMR, Lambda, etc.) and orchestration tools (Glue, Step Functions, etc.).
  • Experience with Apache Iceberg, Sage Maker Lakehouse/Catalog, Terraform;
    Athena, Redshift, EMR, Glue, Data Bricks and/or Snowflake.
  • AWS Glue Data Catalog configuration and management;
    Microsoft Purview;
    Python/PySpark for metadata automation; data governance framework implementation; metadata ingestion pipeline development; DCAM/DAMA framework;
    Lake Formation security; enterprise taxonomy design.
The Company

Vertical Relevance was founded to help business leaders drive value through transforming programs across people, processes, and systems. Our mission is to help firms develop custom solutions for success and growth, providing services from strategy to implementation and training. Our professionals bring 20+ years of experience in Financial Services, Wealth Management, Asset Management, Insurance, and Banking. We focus on customer success through rigorous assessment and right-sized solutions with meaningful ROI.

We partner with product providers for CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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