Data Engineering Manager
On-siteIndia, Madhya Pradesh, Republic of India
Job Summary
Architect and evolve scalable, secure, and AI-ready data platforms across ingestion, storage, transformation, analytics, and data product layers on AWS. Define technical vision, architecture standards, and engineering best practices that balance business needs, scalability, governance, and innovation while collaborating with Engineering, Product, Analytics, Operations, and business teams. Lead the design and delivery of data products that generate measurable business value through analytics, automation, AI/ML, and operational insights. Hire, mentor, and develop a high-performing team of data engineers while coaching in system design, architectural thinking, and operational excellence. Establish engineering standards for batch, streaming, analytics, and AI-enabled workloads, ensuring platform reliability, observability, and compliance with data quality, lineage, and security requirements.
Required Qualifications
- 8+ years of experience in Data Engineering, Data Platform Engineering, Analytics Engineering, or related fields
- 2+ years of experience leading and growing engineering teams
- Proven experience building and scaling enterprise data platforms and data products
- Demonstrated experience delivering measurable business value through data engineering, analytics, AI/ML, automation, or a combination of these capabilities
- Strong expertise in data architecture, data modelling, distributed data processing, and modern data platform technologies
- Experience with technologies such as Spark, Kafka, Airflow, cloud-native services, and modern data engineering frameworks
- Experience designing, building, and operating enterprise-scale data platforms on AWS, including data lake, data warehouse, orchestration, streaming, and analytics services
- Experience with AWS technologies such as S3, Redshift, Glue, Lambda, Kinesis, IAM, Lake Formation, and related platform services
- Demonstrated ability to evaluate emerging technologies, influence architectural direction, and drive platform modernization initiatives
- Proven ability to translate complex business challenges into scalable technical solutions and data products
- Strong communication and stakeholder management skills with the ability to influence both technical and business audiences
- Ability to balance strategic thinking, architectural leadership, and hands-on execution
- Experience building AI-enabled data products and intelligent automation solutions
- Experience applying machine learning, predictive analytics, Generative AI, or LLM-enabled capabilities to solve business problems
- Experience with modern analytics engineering practices and tools such as dbt
- Experience with streaming and real-time data architectures
- Experience leading modernization of AWS-based data platforms and evaluating emerging technologies to improve scalability, reliability, governance, and developer productivity
- Experience with modern data stack technologies such as dbt, DataZone, Iceberg, Delta Lake, or similar ecosystem tools
- Experience in healthcare, life sciences, or other regulated industries
- Experience working with HIPAA, GDPR, PII, or other regulated datasets
- Advanced degree in Computer Science, Engineering, Data Science, or a related technical field
Desired Qualifications
- Demonstrate curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements to improve the efficiency, effectiveness, and quality of work
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.