Maersk the world s largest integrated logistics company is transforming how goods move across continents - and at the heart of that shift is data infrastructure We are building MIDAS a modern federated metadata-driven data platform engineered for composability governance and AI-readiness We are hiring a Senior Engineering Manager to lead platform engineering efforts for MIDAS - designing and scaling a multi-tenant real-time contract-first data platform that spans hundreds of internal systems and supports critical customer and operational use cases This is not just a leadership role It s a once-in-a-decade opportunity to build the foundational data and AI architecture for an entire industry What You ll Lead and Architect Contract-Driven Data Pipelines powered by Apache Iceberg Kafka and Airflow with CI CD for ingestion and transformation logic Policy-as-Code Frameworks using OPA Rego for automated enforcement of ABAC retention masking and lineage propagation Multi-Modal Metadata Plane integrating OpenMetadata or DataHub for discoverability glossary certification and observability Data Mesh Enablement for 300 domain teams through onboarding blueprints QuickStart DAGs SLOs and governance scaffolds AI ML Infrastructure Foundation - feature store integration model monitoring hooks ML lineage tracking and model artifact versioning Scalable Runtime Architecture supporting containerized deployments tenant isolation RBAC and declarative ownership models You will also define the engineering strategy for GenAI enablement with LLM-based copilots and inference patterns backed by real-time streaming and vector-indexed feature stores Scale Complexity You ll Tackle 20M containers 700 vessels 100K customers across 130 countries 4 trillion of global GDP flows through Maersk s digital backbone 300 business applications with heterogeneous schemas and integration models Cross-functional federation involving Ops TradeLens GDA Corp TbM and more Mission-critical workloads ETA predictions vessel tracking customer order visibility emissions analytics and autonomous logistics intelligence You ll Work With Engineering Leaders across Platform Observability AI ML Cybersecurity Data Product Owners Principal Architects SteerCo Governance SMEs Executive sponsors including VP of Platform Engineering CTO and CDO orgs Teams distributed across EU US and India with strong product collaboration Your Background 12-15 years in engineering with 5 leading platform or data infra teams at scale Proven architecture and delivery of internal data platforms preferably supporting both batch streaming Deep experience in data governance contract testing and schema evolution workflows Familiarity with tools like Iceberg Delta OpenMetadata Kafka Spark MLflow Feast Airflow dbt or Dagster Built or scaled ML platform components e g feature stores training pipelines model registries a major plus Strong contributor to high-trust engineering culture and operational rigor metrics SLOs RFCs architecture councils What This Role Offers Greenfield Engineering - define and build the foundational data platform with autonomy and architectural freedom AI ML Future Scope - own the technical ramp toward scalable governed AI-driven supply chain intelligence Executive-Level Influence - work directly with VPs and the CTO org shape the future of logistics technology Career-Defining Impact - contribute to an industry-wide digital transformation with global-scale visibility and outcomes Global Mission with Purpose - help decarbonize and optimize global trade through data and systems excellence Why This Role is a Rare Opportunity Redefine a Century-Old Industry with Data Logistics is being redefined With over 20 trillion in goods flowing through our networks Maersk s transformation is a generational shift - and data is at the heart of it Your work will impact how ships are routed containers are tracked emissions are reduced and customers experience the global supply chain Platform-Led Execution Not Just Analytics MIDAS is an engineering-first initiative - it draws from contemporary data mesh principles builds for scale and interoperability and focuses on governed discoverable self-service data products that support both operational and analytical use cases You ll Own the Foundation for AI at Maersk AI is a strategic focus Your team will lay the foundation to support use cases like LLM copilots for internal operations AI-driven ETA predictions AI agents for customer service ML models for fuel optimization disruption recovery and carbon footprint estimation Executive-Level Impact This role is embedded within Tech organisations with direct exposure to VP-level stakeholders across Platform Engineering Cybersecurity Governance Data Office and Business Platforms You ll shape the delivery strategy and operating model for a multi-year transformation Ready to Build What Moves the World If you ve built platforms that engineers love unified data at scale and want to define the data AI fabric for global trade we d love to connect This is more than a job - it s your opportunity to shape how the world moves Get in touch via our executive hiring team or refer someone who should be here Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements We are happy to support your need for any adjustments during the application and hiring process If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing accommodationrequests maersk com

📌 Senior Engineering Manager - Data & Ai Platforms (Karnataka)
🏢 Maersk
📍 Karnataka