Delivery Lead

Trianz; Bengaluru; In loco; INR 700.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

Trianz is seeking an experienced AWS data and analytics delivery leader in Bengaluru. You will own end-to-end delivery of data platforms, ML/AI initiatives, and BI programs, guiding high-performing teams across projects.

You will define architectures, drive DataOps, and enable pre-sales with credible estimates. Expect collaboration with clients to translate business problems into scalable AWS-based solutions and ongoing certifications to maintain excellence.

Competenze

• 15-20 years in data/analytics; 5+ years leading delivery; 5+ years AWS hands-on
• AWS Services: Redshift, S3, Glue, Athena, Lake Formation, EMR, Kinesis, SageMaker, Bedrock
• Technical: Advanced SQL, Python/Scala, PySpark, CloudFormation/CDK, data modeling
• AWS Certs (preferred): Data Analytics Specialty, ML Specialty, Solutions Architect Professional
• Delivered: TB-scale data lakes/warehouses, ML models in production, cloud migrations, streaming pipelines
• Strong program management and client-facing skills
• Bedrock RAG implementations, multi-cloud (Azure/GCP), cost optimization expertise

Mansioni

• Lead end-to-end delivery of AWS data and analytics solutions.
• Own data engineering, ML/AI, and BI programs while building teams.
• Define AWS architecture patterns and data modeling standards.
• Implement ML Ops and LLM Ops on SageMaker/Bedrock.
• Establish DataOps with CI/CD (CloudFormation/CDK, CodePipeline).
• Drive AWS certifications and upskilling; translate business problems to AWS solutions.
• Support pre-sales with architecture design and estimates.

Conoscenze

Data analytics leadership

Delivery leadership

AWS hands-on

Advanced SQL

Python/Scala

PySpark

CI/CD (CloudFormation/CDK)

Data modeling

Cost optimization

Client-facing skills

Strumenti

Redshift

S3

Glue

Athena

Lake Formation

EMR

Kinesis

SageMaker

Bedrock

CloudFormation

CDK

Descrizione del lavoro

Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries. With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We’re building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - Revolutionizing Transformations.

About the Role

Lead end-to-end delivery of AWS data and analytics solutions. Own execution of data engineering, ML/AI, and BI programs while building high-performing teams.

Responsibilities

AWS Analytics Delivery

• Data platforms: S3 data lakes, Redshift warehouses, Glue ETL, Athena, Lake Formation
• Real-time pipelines: Kinesis, MSK, Lambda, Step Functions

Technical & Delivery Leadership

• Define AWS architecture patterns and data modeling standards
• Implement ML Ops and LLM Ops on SageMaker/Bedrock
• Establish DataOps with CI/CD (CloudFormation/CDK, CodePipeline)

Team & Clients

• Drive AWS certifications and technical upskilling
• Translate business problems to AWS solutions
• Support pre-sales with architecture design and estimates

Qualifications

• 15-20 years in data/analytics; 5+ years leading delivery; 5+ years AWS hands-on
• AWS Services: Redshift, S3, Glue, Athena, Lake Formation, EMR, Kinesis, SageMaker, Bedrock
• Technical: Advanced SQL, Python/Scala, PySpark, CloudFormation/CDK, data modeling
• AWS Certs (preferred): Data Analytics Specialty, ML Specialty, Solutions Architect Professional
• Delivered: TB-scale data lakes/warehouses, ML models in production, cloud migrations, streaming pipelines
• Strong program management and client-facing skills
• Bedrock RAG implementations, multi-cloud (Azure/GCP), cost optimization expertise