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Aptiv

Automotive electronics and software platform provider

Data Engineering Manager - E2E Data Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • Leadership experience in ADAS, autonomous driving, automotive, Internet of Things, telemetry, sensor, image, video, or other high-volume engineering-data environments is preferred.
  • Experience with streaming and messaging platforms such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs is preferred.
  • Experience with Docker, Kubernetes, serverless architectures, and infrastructure-as-code tools such as Terraform or AWS CloudFormation is preferred.
  • Experience with modern data-platform technologies such as Databricks, dbt, Delta Lake, Apache Iceberg, Snowflake, or equivalent is preferred.
  • Familiarity with MLOps platforms, feature or dataset management, ground-truth generation, and data workflows for model training, evaluation, validation, and continuous improvement is preferred.
  • Experience establishing platform product-management practices, self-service capabilities, and service-level objectives is preferred.

Responsibilities

  • Build, lead, coach, and retain a high-performing Data Engineering team in Chennai, including hiring, onboarding, goal setting, performance management, succession planning, and career development.
  • Define the team’s short- and long-term technical strategy, architecture principles, platform roadmap, and capability plan in alignment with global ADAS, autonomous driving, AI/ML, and product priorities.
  • Own the delivery of scalable batch and streaming platforms that ingest and process vehicle, sensor, API, file, database, and cloud-service data.
  • Establish reusable platform capabilities for ingestion, ETL/ELT, transformation, data modelling, data access, and the creation of analytics-ready and ML-ready datasets.
  • Provide technical direction through architecture reviews, design governance, engineering standards, and pragmatic, hands-on guidance for complex data and distributed-systems challenges.
  • Own platform reliability, data quality, observability, security, privacy, retention, lineage, metadata, and compliance outcomes across the data lifecycle.
  • Define service-level objectives, engineering metrics, operational reviews, incident-management practices, and continuous-improvement actions for business-critical data products.
  • Drive performance and cloud-cost optimisation across compute, storage, data movement, and query workloads while balancing scalability, resilience, and delivery speed.
  • Lead quarterly and annual planning, prioritisation, estimation, dependency management, risk mitigation, and predictable execution across multiple workstreams.
  • Partner with AI/ML, MLOps, perception, planning, validation, labelling, cloud infrastructure, cybersecurity, product, and programme teams to translate requirements into maintainable platform capabilities.
  • Represent the Chennai Data Engineering team in global leadership forums, communicate status and trade-offs clearly, and influence cross-functional decisions toward common data-platform outcomes.
  • Foster a culture of ownership, inclusion, engineering excellence, customer focus, innovation, knowledge sharing, and disciplined documentation.

Desired Qualifications

  • Leadership experience in ADAS, autonomous driving, automotive, Internet of Things, telemetry, sensor, image, video, or other high-volume engineering-data environments.
  • Experience with streaming and messaging platforms such as Apache Kafka, Amazon Kinesis, or Azure Event Hubs.
  • Experience with Docker, Kubernetes, serverless architectures, and infrastructure-as-code tools such as Terraform or AWS CloudFormation.
  • Experience with modern data-platform technologies such as Databricks, dbt, Delta Lake, Apache Iceberg, Snowflake, or equivalent.
  • Familiarity with MLOps platforms, feature or dataset management, ground-truth generation, and data workflows for model training, evaluation, validation, and continuous improvement.
  • Experience establishing platform product-management practices, self-service capabilities, and service-level objectives.

About the Company

Aptiv

Automotive electronics and software platform provider

Aptiv provides the electronic brain and nervous system for modern vehicles, powering features from active safety to software-defined vehicle architecture. Its products sit in the car’s electronics stack, enabling connectivity, advanced safety, electrification, and autonomous capabilities through computer modules, software, and embedded systems. Unlike traditional auto parts suppliers, Aptiv focused its business on high-tech automotive electronics and software, after spinning off its legacy powertrain unit in 2017 and rebranding from Delphi. It expands its capabilities through strategic acquisitions such as nuTonomy (self-driving tech) in 2017 and Wind River (edge software) in 2022, and created Motional, a joint venture with Hyundai to commercialize autonomous driving. Aptiv’s goal is to be a leading technology partner for automakers by delivering the core intelligence for next-generation vehicles, including safety, connectivity, electrification, and autonomous driving.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1994

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