Vertical Relevance is looking for a 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 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”.
- Design AWS Data Lake implementations
- Database Migration to AWS Managed Services
- 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 your thoughts into action yielding measurable results.
- Assist with technical briefs that document solutions
- Assist with reference architecture implementations
- Work with Marketing/Alliances to write blog posts
- Work with Marketing/Alliances to develop internal case studies
- Professional experience architecting/operating Data / DevOps solutions built on AWS and Azure.
- Experience in software/technology customer facing experience.
- 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.
- Assist Customer with designing and building robust data ingestion solutions using monitoring, logging and alerting service with retry capabilities.
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