Senior AWS Data Architect

Vertical Relevance is looking for an AWS Data Consultant, 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. He/she will be able to drive the programming of well-constructed, testable code.

As an AWS Data Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization 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?

• 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 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 architectures, and white papers to help our customers build on the cloud

  • Innovate on behalf of customers and translate your 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

  • Work with Marketing/Alliances to develop internal case studies

• Professional experience architecting/operating Data / Dev Ops solutions built on AWS

• Experience in software/technology customer facing experience and python programming exp.

  U.S. work authorization required. Candidates must be legally authorized to work in the United States without current or future employer sponsorship.

AWS Data Architecture and Data Lake Implementation

Assist Customer in building out a framework for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources.

• Assist Customer with implementing Amazon Virtual Private Cloud (Amazon VPC), account, Amazon Simple Storage Service (Amazon S3) bucket strategy and capture impact for introducing critical data for a data lake.

• Assist Customer with achieving modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources.

• Assist Customer with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated.

• Provide Customer general best practices in building production quality data pipeline for ingestion, transformation and consumption to downstream applications through a serving layer.

• Assist Customer with defining details to data catalog and data serving layer through application program interfaces (APIs) if required.

• Provide Customer general best practices for Amazon S3 data storage approach.

Build Ingestion and Orchestration Ingestion

Based on Customer’s ingestion requirements provided. Assist Customer with building a reusable ingestion framework to onboard new data quickly based on one data source example.

• Assist Customer with designing and building robust data…