Delivery Manager I
UST
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Descrizione del lavoro
UST is seeking a Technical Delivery Manager – Data Engineering (AWS) to own end-to-end delivery of complex data programs for enterprise clients on AWS. You will guide a team of 15 to 40 engineers across onsite and offshore locations, review architectures, challenge estimates, and drive delivery decisions with a focus on security, cost optimization and governance.
The role requires deep AWS data service experience, strong stakeholder management and a track record of delivering data lake/
Competenze
- 14 to 18 years of IT experience with hands-on data engineering, data warehousing or ETL development.
- 5+ years delivering data engineering projects for external clients in IT services or consulting.
- 4+ years delivering data platforms on AWS.
- Experience leading teams of 15+ across onsite and offshore locations.
- Experience managing fixed-price engagements and owning project margin.
Mansioni
- Own end-to-end delivery of data platform, data migration and modernization programs, from planning to production and steady-state support.
- Convert solution architecture and roadmaps into release plans, milestones and sprint backlogs.
- Run delivery governance including RAID, dependency management, change control, status reporting and steering committee reviews.
- Manage delivery under Agile (Scrum, Kanban, SAFe) and milestone-based fixed-price models.
- Act as the primary delivery contact for client IT and business stakeholders, and manage escalations to closure.
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
Job Title: Technical Delivery Manager – Data Engineering (AWS)
Experience: 14 to 18 years
About the Role: We are looking for a Technical Delivery Manager to own end-to-end delivery of data engineering programs for enterprise clients on AWS. You will lead a team of 15 to 40 data engineers, architects, testers and analysts across onsite and offshore locations. This is a delivery leadership role with strong technical depth. You will not write production code every day, but you will review architecture, challenge estimates and guide the team through complex design and delivery decisions.
Key Responsibilities:
- Own end-to-end delivery of data platform, data migration and modernization programs, from planning to production and steady-state support
- Convert solution architecture and roadmaps into release plans, milestones and sprint backlogs
- Run delivery governance including RAID, dependency management, change control, status reporting and steering committee reviews
- Manage delivery under Agile (Scrum, Kanban, SAFe) and milestone-based fixed-price models
- Act as the primary delivery contact for client IT and business stakeholders, and manage escalations to closure
- Review solution designs, data models and effort estimate with architects and technical leads
- Set and enforce engineering standards for code review, CI/CD, automated testing, data quality and documentation
- Ensure security, access control, data privacy and compliance requirements are built into every solution
- Monitor and optimize AWS and data platform costs with the engineering team
- Own project financials including revenue, margin, utilization, billing and forecasting
- Prepare estimates, SOWs and change requests for fixed-price, T&M and capacity-based engagements
- Identify follow-on opportunities and support pre-sales with proposals and solution estimates
- Plan resourcing and onsite-offshore mix, hire and mentor team members, and manage attrition risk
- Drive adoption of AI-assisted engineering, accelerators and reusable frameworks to improve delivery efficiency
Required Experience:
- 14 to 18 years of IT experience, with a foundation in hands-on data engineering, data warehousing or ETL development
- 5+ years managing delivery of data engineering projects for external clients in an IT services or consulting environment
- 4+ years delivering data platforms on AWS
- Delivered at least two end-to-end programs such as a data lake or lakehouse implementation, or a legacy data warehouse migration to AWS
- Experience leading teams of 15 or more across onsite and offshore locations
- Experience managing fixed-price engagements and owning project margin
- Strong communication and stakeholder management skills, with experience presenting to senior client leadership
- Bachelor’s degree in engineering, Computer Science or a related field
Technical Skills:
- AWS data services: S3, Glue, EMR, Redshift, Athena, Lambda, Step Functions, Lake Formation, DMS
- Streaming: Amazon Kinesis or Amazon MSK (Kafka)
- Lakehouse platforms: Databricks on AWS (Delta Lake, Unity Catalog) or Snowflake; Apache Iceberg
- Languages and processing: Apache Spark / PySpark, advanced SQL, Python
- Orchestration: Apache Airflow / Amazon MWAA, AWS Step Functions, Databricks Workflows
- Data modelling: dimensional modelling, star schema, SCD, Data Vault, medallion architecture
- Data integration: ETL/ELT design, CDC, on premises to AWS migration (Teradata, Oracle, SQL Server, Informatica or similar)
- DevOps and DataOps: Git, CI/CD, Terraform or CloudFormation, automated testing for data pipelines
- Data quality, observability and governance: data quality frameworks, CloudWatch monitoring, data catalog and lineage, IAM and encryption
- Working knowledge of BI, ML and GenAI use cases on AWS (Amazon Bedrock, SageMaker)
Preferred Qualifications:
- Domain experience in life sciences, healthcare, BFSI, retail or manufacturing
- Pre-sales exposure including RFP responses and solution estimation
- Experience with data mesh or data product operating models
- Exposure to Azure or GCP data services
- Master's degree or MBA
Certifications (preferred):
- AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect – Associate / Professional
- Databricks Certified Data Engineer Associate / Professional or SnowPro Core
- PMP, PRINCE2, SAFe or Certified ScrumMaster
Job Title: Technical Delivery Manager – Data Engineering (AWS)
Experience: 14 to 18 years
About the Role: We are looking for a Technical Delivery Manager to own end-to-end delivery of data engineering programs for enterprise clients on AWS. You will lead a team of 15 to 40 data engineers, architects, testers and analysts across onsite and offshore locations. This is a delivery leadership role with strong technical depth. You will not write production code every day, but you will review architecture, challenge estimates and guide the team through complex design and delivery decisions.
Key Responsibilities:
- Own end-to-end delivery of data platform, data migration and modernization programs, from planning to production and steady-state support
- Convert solution architecture and roadmaps into release plans, milestones and sprint backlogs
- Run delivery governance including RAID, dependency management, change control, status reporting and steering committee reviews
- Manage delivery under Agile (Scrum, Kanban, SAFe) and milestone-based fixed-price models
- Act as the primary delivery contact for client IT and business stakeholders, and manage escalations to closure
- Review solution designs, data models and effort estimate with architects and technical leads
- Set and enforce engineering standards for code review, CI/CD, automated testing, data quality and documentation
- Ensure security, access control, data privacy and compliance requirements are built into every solution
- Monitor and optimize AWS and data platform costs with the engineering team
- Own project financials including revenue, margin, utilization, billing and forecasting
- Prepare estimates, SOWs and change requests for fixed-price, T&M and capacity-based engagements
- Identify follow-on opportunities and support pre-sales with proposals and solution estimates
- Plan resourcing and onsite-offshore mix, hire and mentor team members, and manage attrition risk
- Drive adoption of AI-assisted engineering, accelerators and reusable frameworks to improve delivery efficiency
Required Experience:
- 14 to 18 years of IT experience, with a foundation in hands-on data engineering, data warehousing or ETL development
- 5+ years managing delivery of data engineering projects for external clients in an IT services or consulting environment
- 4+ years delivering data platforms on AWS
- Delivered at least two end-to-end programs such as a data lake or lakehouse implementation, or a legacy data warehouse migration to AWS
- Experience leading teams of 15 or more across onsite and offshore locations
- Experience managing fixed-price engagements and owning project margin
- Strong communication and stakeholder management skills, with experience presenting to senior client leadership
- Bachelor’s degree in engineering, Computer Science or a related field
Technical Skills:
- AWS data services: S3, Glue, EMR, Redshift, Athena, Lambda, Step Functions, Lake Formation, DMS
- Streaming: Amazon Kinesis or Amazon MSK (Kafka)
- Lakehouse platforms: Databricks on AWS (Delta Lake, Unity Catalog) or Snowflake; Apache Iceberg
- Languages and processing: Apache Spark / PySpark, advanced SQL, Python
- Orchestration: Apache Airflow / Amazon MWAA, AWS Step Functions, Databricks Workflows
- Data modelling: dimensional modelling, star schema, SCD, Data Vault, medallion architecture
- Data integration: ETL/ELT design, CDC, on premises to AWS migration (Teradata, Oracle, SQL Server, Informatica or similar)
- DevOps and DataOps: Git, CI/CD, Terraform or CloudFormation, automated testing for data pipelines
- Data quality, observability and governance: data quality frameworks, CloudWatch monitoring, data catalog and lineage, IAM and encryption
- Working knowledge of BI, ML and GenAI use cases on AWS (Amazon Bedrock, SageMaker)
Preferred Qualifications:
- Domain experience in life sciences, healthcare, BFSI, retail or manufacturing
- Pre-sales exposure including RFP responses and solution estimation
- Experience with data mesh or data product operating models
- Exposure to Azure or GCP data services
- Master's degree or MBA
Certifications (preferred):
- AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect – Associate / Professional
- Databricks Certified Data Engineer Associate / Professional or SnowPro Core
- PMP, PRINCE2, SAFe or Certified ScrumMaster
AWS, Data Migration, Stakeholder Management, Data Engineering
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