The role involves consulting on AWS architecture design, implementing data initiatives, and providing technical support for various AWS services and data standards.
This is a remote position.
Customer is currently implementing many new data and analytics initiatives. These initiatives
have a requirement to run on an AWS environment, implementing the AWS Well Architected
Framework and the AWS Data Science Blueprint. As part of the effort, LW looks to engage
Supplier to assist with the AWS architecture and AWS Data Science components. This
architecture includes (but not limited to):
- AWS Glue
- AWS Athena
- AWS Sagemaker
- AWS Glue Data Brew
- AWS DMS
- AWS S3
- AWS Lambda
- AWS Well Architected Framework Designs
- AWS Data Science Components
- Strong SQL
- General familiarity with SQL Server would be helpful
- SAP S/4 HANA
- Dell Boomi
- Denodo
- Domo
Activities:
1. Attend Data and Analytics technical meetings
2. Consult on architecture design, data enablement, development and other related activities
Deliverables:
Support and implement key related initiatives surrounding the above technologies
and projects. In a partnered engagement model, you will serve as an extension to the client to
complete either ongoing initiatives or new identified and perform required project support. In
addition, you will provide technical support and strategic guidance along with best practices
to deliver documented Data Architect Standards.
Similar Jobs
Information Technology • Database • Consulting
Design and implement AWS-based data architectures and lakehouse solutions, lead data engineering teams, build ETL and real-time pipelines (Kafka/Kinesis), use DBT and Airbyte for ingestion and transformation, orchestrate workflows with Airflow/MWAA, enforce security/compliance, and guide infra automation with Terraform/CloudFormation and CI/CD.
Top Skills:
AirbyteApache AirflowApache KafkaAPIsAws EmrAws GlueAws KinesisAws LambdaAws MwaaAws RedshiftAws S3CloudFormationData LakehouseDbtHudiJenkinsPysparkPythonSQLTerraform
Big Data • Cloud • Hardware • Software • App development
Lead technical owner for application modernization on AWS: develop repeatable modernization offerings, author SOWs/LOEs/reference architectures, support pre-sales as SME, provide delivery oversight and architecture reviews, and drive solution playbooks and standards to scale modernization delivery while improving client outcomes.
Top Skills:
.Net CoreAmazon Api GatewayAmazon EcrAmazon EventbridgeAmazon KinesisAmazon RedshiftAmazon SagemakerAws BedrockAws CdkAws Cloud WanAws CloudformationAws CodebuildAws CodepipelineAws Direct ConnectAws EcsAws EksAws Elastic BeanstalkAws FargateAws GlueAws IamAws LambdaAws Network FirewallAws Step FunctionsAws Transit GatewayAws WafAzure AksAzure App ServiceAzure DevopsAzure MigrateDockerGithub ActionsJavaKubernetesNode.jsService MeshTerraform
Big Data • Cloud • Hardware • Software • App development
Senior AWS-focused cloud solution architect who defines and scales AI & Data delivery: builds reference architectures, presales S OWs/LOEs, provides technical SME support, and performs delivery oversight and architecture reviews to ensure repeatable, governed enterprise AI and data platform outcomes.
Top Skills:
Apache AirflowAthenaAWSAws Step FunctionsBedrockDatabricksDbtEmrEventbridgeGlueGlue Data CatalogKafka (Msk)KinesisLake FormationPrompt EngineeringRagRedshiftSagemakerSnowflakeVector Databases
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
