EY - GDS Consulting - AI And DATA - Snowflake plus AWS - Manager
Ernst Young · Kolkata · onsite · Posted 44d ago
Undisclosed12–17 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Lead - Data Engineering & AI Enablement (Life Sciences) Position Summary
We are seeking a highly experienced and hands-on Data Engineering Leader with 12+ years of experience designing, building, and modernizing enterprise-scale data platforms. The ideal candidate will possess deep expertise across cloud-native data engineering, AI-enabled data modernization, and large-scale analytics platforms, with a strong preference for Life Sciences and Clinical Research domain experience.
This role requires a blend of technical leadership, architecture design, hands-on development, delivery oversight, and client engagement. The candidate will be responsible for leading global engineering teams while actively contributing to architecture, solution design, implementation, optimization, and AI-driven automation initiatives.
Key Responsibilities - Lead end-to-end design, architecture, and implementation of modern cloud-native data platforms and analytics ecosystems.
- Design and develop scalable data ingestion, transformation, orchestration, and consumption frameworks using AWS, Snowflake, Python, and PySpark.
- Modernize legacy ETL and data warehouse solutions through automation, cloud migration, AI adoption, and platform optimization initiatives.
- Architect enterprise data solutions supporting structured, semi-structured, and unstructured datasets.
- Drive implementation of AI/ML and GenAI-enabled capabilities to improve pipeline efficiency, data quality, observability, and operational effectiveness.
- Partner directly with clients to understand business needs, define solution roadmaps, lead workshops, and provide technical advisory services.
- Lead distributed teams of data engineers, architects, and analysts while remaining actively involved in development and code reviews.
- Establish engineering best practices including DevOps, CI/CD, testing, security, monitoring, and governance standards.
- Collaborate with business and clinical stakeholders to translate requirements into scalable technical solutions.
- Drive solution estimation, planning, risk management, and delivery governance.
- Mentor team members and foster a culture of technical excellence and innovation.
- Python
- PySpark / Apache Spark
- Advanced SQL
- Data Modeling
- ETL / ELT Design Patterns
- Data Quality Frameworks
- Metadata-Driven Architectures
- API based Integration
- AWS
- Snowflake
- Dataiku (nice to have)
- PostgresSQL
- Git
- Jenkins
- CI/CD Pipelines
- Infrastructure as Code
- Automated Testing & Deployment
- Environment Management & Release Governance
- AI-enabled Data Engineering
- Pipeline Automation
- Data Observability
- GenAI Adoption for Data Operations
- Intelligent ETL Optimization
- Automated Data Quality & Monitoring Frameworks
- Candidates with Life Sciences, Clinical Development, Biopharma, or Healthcare experience will be strongly preferred.
- Experience working with one or more of the following domains:
- Clinical Trial Data
- Protocol Data
- Participant/Subject Data
- Study Operations , Case Report Forms
- Central Laboratory Data
- Sample Lifecycle Management
- Biomarker & Assay Data
- Clinical Research Platforms
- CDISC / SDTM Standards
- Proven experience leading teams of 10+ engineers across multiple workstreams.
- Strong stakeholder management and executive communication skills.
- Ability to independently lead client meetings, workshops, solution reviews, and architecture discussions.
- Experience managing onsite/offshore delivery models.
- Demonstrated ability to influence technical and business decision-making at senior leadership levels.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related discipline.
- 12+ years of progressive experience in Data Engineering, Cloud Data Platforms, and Analytics Solutions.
- Experience leading large-scale transformation and modernization programs.
- Cloud certifications (AWS, Snowflake, AI/ML) are highly desirable.
Sourced from naukri
Skills
AutomationBedrockApache SparkCI/CD PipelinesAssayclinical researchApacheautomated testingadvanced sqlamazon web servicesapache airflowanalytics platformsclinical developmentAnalyticsCdiscCapital MarketscloudArchitectureArtificial Intelligence
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
About
At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.
Industries
Management Consulting
Employee ratings
10 reviews
3.4/ 5
Culture
1.9
Career growth
2.3
Work-life
2.5
Employees rate it well for
Job Security36Skill Development35
Find them on