Vertical Relevance · 4 months ago
Data & Analytics Cloud Consultant
United States
Full-time
Remote
Mid LevelVertical Relevance is looking for an AWS Data & Analytics Consultant to join their team as a full-time employee and work remotely. This role is responsible for the end-to-end planning, building, and deploying of software systems, while also implementing technical solutions for customer engagements.
Financial ServicesInsurance
No H1B
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 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
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
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 ingestion solutions using monitoring, logging and alerting servicing with retry capabilities
Assist Customer with server-less approaches where if applicable for the ingestion
Assist Customer with building the framework for managing data updates to data stored in objects on Amazon S3
Based on Customer’s ingestion, orchestration and operational requirements. Provide general best practices to Customer for implementing an extensible and supportable orchestration framework for onboarding data to a lambda architecture for a representative data source
Advise Customer on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tool defined as part of the assessment
Advise Customer on orchestration options on AWS Services including but not limited to AWS Glue, AWS Step Functions, AWS Batch, Amazon EMR, AWS Data Pipeline, AWS Lambda or other AWS native orchestration tooling
Assist Customer with building out the orchestration and state management processes to support data processing without data loss and exception and identify error handling
Advise Customer on how the orchestration tooling will provide operational feedback to the support organizations in the event of a failure
Based on Customer’s usage requirements. Assist Customer with building the data lake storage approach for a representative data source
Assist Customer with building data storage including buckets, prefixes, encryption, file types, partitioning
Assist Customer with building automated data partition strategy
Assist Customer with building Amazon S3 Bucket policies, logging and monitoring
Assist Customer with building out data lifecycle management
Assist Customer with building cross-region replication if required
Qualification
Required
Professional experience architecting/operating Data / DevOps solutions built on AWS
Experience in software/technology customer facing experience
You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Company
Vertical Relevance
Vertical Relevance focuses Financial Services, across Wealth Management, Asset Management, Insurance, and Banking.
Founded in 2015
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Aaron Standish
Client Partner, Financial Services
Austin McMillan
Solution Partner / Head of SRE and Resiliency
Recent News
Company data provided by crunchbase