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? 

About the Role 

Vertical Relevance is seeking an experienced AWS Data Consultant to design, build, and deploy scalable data solutions on AWS. This role involves working closely with clients to guide cloud adoption and deliver high-quality, production-ready systems. 

Key Responsibilities 

• Guide customers through cloud adoption and transformation 

• Design and implement AWS data solutions and data lakes 

• Manage AWS Glue Data Catalog and governance solutions 

• Migrate SQL Server workloads to AWS (RDS, Aurora) 

• Use AWS DMS and SCT for migrations 

• Perform SQL Server performance tuning 

• Develop automation tools and technical documentation 

• Collaborate with cross-functional teams and contribute to thought leadership 

• 8+ years of AWS data engineering or architecture experience 

• Strong SQL Server expertise (EC2, RDS, migrations) 

• Experience with AWS DMS, SCT, and Terraform 

• Strong communication and client-facing skills 

• Amazon SageMaker (Lakehouse, Catalog) 

• Terraform 
• Apache Iceberg 

• Redshift, Athena, EMR, Glue 

• Kinesis / Firehose 

• Databricks or Snowflake 

• Redis, EKS 

• Programming: Python 

• Tools: Airflow, Kafka, Spark, Hadoop, Parquet, Git 

• AWS: S3, Lambda, Batch, RDS, Aurora, DynamoDB, Redshift, Athena, Glue, Kinesis, Step Functions, IAM, CloudTrail 

• Primary Languages - Python
• Tooling, Services & Libraries – Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop 

• 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 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.