Buaut
Buaut

AWS Data & AI Tech Lead

Remote • Posted 12 hours ago • Updated 12 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • API
  • RBAC
  • Microsoft Power BI
  • Business Intelligence
  • Orchestration

Summary

Job Title: AWS Data & AI Technical Lead
Location: Remote
Required skills and experience
  • 10+ years in technology delivery, including 4+ years as a technical lead, architect, or senior engineer on data platform or data engineering programs.
  • Deep, hands-on AWS experience: S3, S3 Tables, Glue, Athena, Lambda, Step Functions, DMS, Lake Formation, IAM, API Gateway, CloudFront, Secrets Manager, CloudWatch, and ECR. You should be able to read CloudTrail and resolve an access-denied path unaided.
  • Apache Iceberg: practical working knowledge of table formats, catalogs, and engine compatibility.
  • AWS CDK (Python): you build and maintain infrastructure as code as a matter of course.
  • Python at production standard: Lambda handlers, PySpark ETL, CDK stacks, and test suites that you write and review, not merely read.
  • Orchestration with Airflow or MWAA.
  • Enterprise access control at scale: RBAC and ABAC models, fine-grained filtering, identity federation, and the operational reality of managing grants across many principals and resources.
  • Experience leading distributed engineering teams across time zones, with Git and disciplined commit and review practice.
  • This role produces a significant volume of design documentation and client-facing material, and the quality of that writing matters.
Preferred
  • GenAI delivery experience: Amazon Bedrock, agent runtimes, embedding models, vector search, and RAG system design.
  • Document intelligence: OCR, layout-aware extraction, chunking strategy, and ontology design over unstructured content.
  • Identity federation with Microsoft Entra ID and AWS IAM Identity Center, including trusted identity propagation.
  • SageMaker Unified Studio, Amazon DataZone, or comparable data catalog and subscription platforms.
  • Semantic layer and BI experience with Power BI, Cognos, or equivalent, including correct treatment of ratio measures across aggregation levels.
  • React and FastAPI, sufficient to build and maintain internal tooling.
  • Data cataloguing and data privacy platforms such as Atlan or BigID.
  • Consulting or client-services delivery within a large enterprise account.
How we work
  • Establish ground truth before building. Audit the live environment first and separate what was measured from what was assumed.
  • Verify against real state, not a green pipeline. A successful deployment is not evidence that the thing works.
  • Raise uncertainty early. Stopping to ask is always preferred over guessing and continuing.
  • Infrastructure as code, without exception. Manual changes are permitted only as approved, temporary steps to validate a fix before it is codified.
  • Leave no trace in shared environments, and be able to prove it.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91088715
  • Position Id: 9074394
  • Posted 12 hours ago
Contact the job poster
CP

Chetan Patil

Recruiter @ Buaut
View Profile
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AWS Data Engineer

Remote

•

Yesterday

Easy Apply

Contract

$170000

AWS data platform expert

Remote

•

6d ago

Easy Apply

Full-time

75 - 80

Software Engineer 5

Remote

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

AWS / MDM Developer (Senior AWS Data Engineer)

Remote

•

Today

Easy Apply

Contract, Third Party

$85 - $90

Search all similar jobs
Remote jobs at Buaut