About the job
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 - RevolutionAIzing Transformations
Role Overview
Lead the end-to-end delivery of AWS-based data, analytics, and AI solutions for enterprise clients. Own the successful execution of data engineering, machine learning, generative AI, and business intelligence programs while building and mentoring high-performing delivery teams. Drive technology innovation, ensure delivery excellence, and enable business transformation through scalable cloud-native architectures.
Key Responsibilities
AWS Analytics Delivery
Lead the design, implementation, and optimization of enterprise data platforms leveraging AWS services such as Amazon S3, Redshift, AWS Glue, Athena, and Lake Formation.
Build and manage real-time data processing solutions using Amazon Kinesis, MSK, AWS Lambda, and Step Functions.
Deliver machine learning and generative AI solutions using Amazon SageMaker and Amazon Bedrock, including model training, deployment, monitoring, LLM applications, and RAG implementations.
Enable business intelligence and data visualization initiatives using Amazon QuickSight, Tableau, and Power BI on AWS.
Drive large-scale cloud migration programs from legacy platforms such as Teradata, Oracle, and Hadoop ecosystems to AWS.
Technical & Delivery Leadership
Define and govern AWS architecture standards, data modeling frameworks, and best practices across programs.
Establish and implement MLOps and LLMOps frameworks leveraging SageMaker and Bedrock.
Manage multiple strategic programs with budgets exceeding $10M and support the processing of multi-terabyte datasets.
Implement DataOps practices with automated CI/CD pipelines using CloudFormation, AWS CDK, and CodePipeline.
Ensure solution scalability, security, performance optimization, and cost efficiency across all AWS deployments.
Team Leadership & Client Engagement
Lead, mentor, and scale teams of 30 professionals, including data engineers, ML engineers,
data scientists, and BI
developers.
Drive technical excellence through AWS certification programs, capability building, and continuous learning initiatives.
Collaborate with business stakeholders to translate complex business requirements into scalable AWS data and AI solutions.
Support pre-sales activities by providing solution architecture, effort estimation, technical proposals, and client presentations.
Act as a trusted advisor to clients, ensuring successful program delivery and long-term partnership growth.
Required Skills & Experience
Experience
15 to 20 years of experience in Data Engineering, Analytics, and AI/ML domains.
Minimum 5 years of leadership experience managing large-scale delivery programs.
Minimum 5 years of hands-on experience architecting and implementing AWS data and analytics solutions.
Technical Skills
Advanced SQL and data modeling expertise.
Strong programming experience in Python and/or Scala.
Hands-on experience with PySpark and large-scale data processing frameworks.
Infrastructure-as-Code experience using AWS CloudFormation and AWS CDK.
Expertise in DataOps, MLOps, and cloud-native architecture patterns.
Preferred Certifications
AWS Certified Data Analytics - Specialty
AWS Certified Machine Learning - Specialty
AWS Certified Solutions Architect - Professional
Proven Delivery Experience
Enterprise-scale data lakes and data warehouse implementations handling terabyte-scale datasets.
Production deployment and management of machine learning and generative AI solutions.
Large-scale cloud migration and modernization programs.
Real-time streaming and event-driven data architectures.
Strong program management, stakeholder management, and client-facing leadership capabilities.
Preferred Qualifications
Experience implementing RAG-based solutions using Amazon Bedrock.
Exposure to multi-cloud environments, including Azure and Google Cloud Platform (GCP).
Expertise in cloud cost optimization, governance, and operational excellence frameworks.
Equal Employment Opportunity
Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veterans (except in those special circumstances permitted or mandated by law).