Who You’ll Work With
You will be part of Nike’s Global Technology organization, working within the India Tech Centre in Bangalore, India to support Consumer Product & Innovation capabilities. You will report to the Engineering Director and partner closely with product managers, principal engineers, architects, data engineers, data science, security, platform and business stakeholders. You will lead a team of data engineers and collaborate with local and global teams to deliver reliable, scalable and secure data platforms that enable analytics, reporting, AI/ML and business decision-making.
Who We Are Looking For
We are looking for an experienced Data Engineering Manager to lead, coach and grow a high-performing engineering team in Bengaluru. In this role, you will own the strategy, architecture and execution of enterprise data platform capabilities that power analytics, reporting, AI/ML and business decision-making.
What You’ll Work On
- Lead, mentor, recruit and grow a high-performing team of data engineers.
- Define and execute the technical roadmap for enterprise data platform capabilities.
- Design, build and operate scalable, fault-tolerant batch, streaming and near-real-time data pipelines.
- Architect and evolve data lakehouse, data warehouse, ingestion, transformation and integration layers.
- Oversee data quality, observability, metadata, governance, privacy and security standards.
- Partner with product, engineering, analytics, data science, architecture, security and business stakeholders.
- Enable AI/ML-ready data architecture and reusable data products.
- Drive DataOps practices including CI/CD, automated testing, monitoring, alerting, documentation and cost efficiency.
- Manage backlog prioritisation, sprint planning, delivery cadence and operational stability.
- Evaluate and implement tools and technologies that improve reliability, scalability and developer productivity.
Required Qualifications
- Bachelor’s or Master’s degree in a relevant technical field, or equivalent practical experience.
- 10+ years of hands-on experience in data engineering.
- 3+ years of people leadership experience.
- Strong proficiency in SQL, Python and distributed data processing frameworks such as Spark or PySpark.
- Expertise in data warehousing, lakehouse architectures, data modelling, ETL/ELT and large-scale data integration.
- Experience with cloud data platforms such as AWS, Snowflake or Databricks.
- Experience with technologies such as Apache Airflow, dbt, Kafka or Kinesis.
- Understanding of data governance, metadata, privacy, security, data quality and observability.
- Experience enabling analytics and AI/ML use cases through reliable data products.
- Excellent problem-solving, communication and stakeholder management skills.
Preferred Qualifications
- Experience in globally distributed engineering organisations.
- Experience with data mesh, data products, feature stores, real-time analytics or modern lakehouse architectures.
- Familiarity with Terraform, CloudFormation, Docker or Kubernetes.
- Experience managing cloud infrastructure usage, reliability, performance and cost efficiency.
- Familiarity with BI, dashboarding, semantic modelling and analytics engineering.
NIKE, Inc. offers a generous total rewards package, a casual work environment, a diverse and inclusive culture, and professional development opportunities. NIKE, Inc. is an equal opportunity employer.