Vertical Relevance
Overview
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?
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 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
Qualifications
Professional experience architecting/operating data/DevOps solutions built on AWS
Experience in software/technology customer facing roles
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.
Sample Activities You’ll Do AWS Data Architecture and Data Lake Implementation Assist customers 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 customers with implementing Amazon Virtual Private Cloud (VPC), account, and Amazon Simple Storage Service (S3) bucket strategy and capture impact for introducing critical data for a data lake.
Assist customers with achieving a modern big data Lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources.
Assist customers with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated data.
Provide customers general best practices in building production-quality data pipelines for ingestion, transformation and consumption to downstream applications through a serving layer.
Assist customers with defining details to data catalog and data serving layer through APIs if required.
Provide customers general best practices for Amazon S3 data storage approaches.
Build Ingestion and Orchestration Based on the customer’s ingestion requirements, assist with building a reusable ingestion framework to onboard new data quickly based on one data source example.
Assist with designing and building robust data ingestion solutions using monitoring, logging and alerting services with retry capabilities.
Assist with server-less approaches where applicable for ingestion.
Assist with building the framework for managing data updates to data stored in objects on Amazon S3.
Orchestration Based on customer’s ingestion, orchestration and operational requirements, provide general best practices for implementing an extensible and supportable orchestration framework for onboarding data to a Lambda architecture for a representative data source.
Advise on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tools defined as part of the assessment.
Advise 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.
Must Have: Apache Iceberg, SageMaker, Terraform
Should Have: Athena, Redshift, EMR, Glue, Databricks and/or Snowflake
Assist with building out the orchestration and state management processes to support data processing without data loss and with proper error handling.
Advise on how orchestration tooling will provide operational feedback to support organizations in the event of a failure.
Storage and Catalog – Amazon S3 Data Storage Build Based on customer usage requirements, assist with building the data lake storage approach for a representative data source.
Assist with building data storage including buckets, prefixes, encryption, file types, partitioning.
Assist with building automated data partitioning strategies.
Assist with building Amazon S3 bucket policies, logging and monitoring.
Assist with building out data lifecycle management.
Assist with cross-region replication if required.
Relevant Technical Tools
Primary Languages: Python
Tooling, Services & Libraries: Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop
Relevant AWS Services
AWS Infrastructure Scripting: CloudFormation, AWS CLI, AWS CDK
AWS Storage Services: S3
AWS Compute Services: Lambda, Batch
AWS Database Services: RDS, DynamoDB, Redshift, Aurora, Neptune
AWS Networking Services: VPC
AWS Management and Governance Services: CloudTrail, Service Catalog
AWS Analytics Services: Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline
AWS Security, Identity, Compliance Services: IAM
AWS Application Integration Services: Step Functions
The Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media), synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of 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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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?
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 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
Qualifications
Professional experience architecting/operating data/DevOps solutions built on AWS
Experience in software/technology customer facing roles
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.
Sample Activities You’ll Do AWS Data Architecture and Data Lake Implementation Assist customers 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 customers with implementing Amazon Virtual Private Cloud (VPC), account, and Amazon Simple Storage Service (S3) bucket strategy and capture impact for introducing critical data for a data lake.
Assist customers with achieving a modern big data Lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources.
Assist customers with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated data.
Provide customers general best practices in building production-quality data pipelines for ingestion, transformation and consumption to downstream applications through a serving layer.
Assist customers with defining details to data catalog and data serving layer through APIs if required.
Provide customers general best practices for Amazon S3 data storage approaches.
Build Ingestion and Orchestration Based on the customer’s ingestion requirements, assist with building a reusable ingestion framework to onboard new data quickly based on one data source example.
Assist with designing and building robust data ingestion solutions using monitoring, logging and alerting services with retry capabilities.
Assist with server-less approaches where applicable for ingestion.
Assist with building the framework for managing data updates to data stored in objects on Amazon S3.
Orchestration Based on customer’s ingestion, orchestration and operational requirements, provide general best practices for implementing an extensible and supportable orchestration framework for onboarding data to a Lambda architecture for a representative data source.
Advise on leveraging AWS Services tools for data ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other tools defined as part of the assessment.
Advise 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.
Must Have: Apache Iceberg, SageMaker, Terraform
Should Have: Athena, Redshift, EMR, Glue, Databricks and/or Snowflake
Assist with building out the orchestration and state management processes to support data processing without data loss and with proper error handling.
Advise on how orchestration tooling will provide operational feedback to support organizations in the event of a failure.
Storage and Catalog – Amazon S3 Data Storage Build Based on customer usage requirements, assist with building the data lake storage approach for a representative data source.
Assist with building data storage including buckets, prefixes, encryption, file types, partitioning.
Assist with building automated data partitioning strategies.
Assist with building Amazon S3 bucket policies, logging and monitoring.
Assist with building out data lifecycle management.
Assist with cross-region replication if required.
Relevant Technical Tools
Primary Languages: Python
Tooling, Services & Libraries: Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop
Relevant AWS Services
AWS Infrastructure Scripting: CloudFormation, AWS CLI, AWS CDK
AWS Storage Services: S3
AWS Compute Services: Lambda, Batch
AWS Database Services: RDS, DynamoDB, Redshift, Aurora, Neptune
AWS Networking Services: VPC
AWS Management and Governance Services: CloudTrail, Service Catalog
AWS Analytics Services: Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline
AWS Security, Identity, Compliance Services: IAM
AWS Application Integration Services: Step Functions
The Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media), synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of 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.
#J-18808-Ljbffr