Job
Description
locationsIN - Bangalore
posted onPosted 28 Days Agojob requisition idR145361Maersk, the worlds 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. Its a once-in-a-decade opportunity to build the foundational data and AI architecture for an entire industry.
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What Youll Lead and Architect
Contract-Driven Data Pipelines powered by Apache Iceberg, Kafka, and Airflow with CI/CD for ingestion and transformation logicPolicy-as-Code Frameworks using OPA/Rego for automated enforcement of ABAC, retention, masking, and lineage propagationMulti-Modal Metadata Plane integrating OpenMetadata or DataHub for discoverability, glossary, certification, and observabilityData Mesh Enablement for 300+ domain teams through onboarding blueprints, QuickStart DAGs, SLOs, and governance scaffoldsAI/ML Infrastructure Foundation feature store integration, model monitoring hooks, ML lineage tracking, and model artifact versioningScalable 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.
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Scale & Complexity Youll Tackle
20M+ containers, 700+ vessels, 100K+ customers across 130+ countries$4 trillion of global GDP flows through Maersk's digital backbone300+ business applications with heterogeneous schemas and integration modelsCross-functional federation involving Ops, TradeLens, GDA, Corp, TbM, and moreMission-critical workloadsETA predictions, vessel tracking, customer order visibility, emissions analytics, and autonomous logistics intelligence??
Youll Work With
Engineering Leaders across Platform, Observability, AI/ML, CybersecurityData Product Owners, Principal Architects, SteerCo Governance SMEsExecutive sponsors including VP of Platform Engineering, CTO, and CDO orgsTeams distributed across EU, US, and India, with strong product collaboration??
Your Background
1215 years in engineering, with 5+ leading platform or data infra teams at scaleProven architecture and delivery of internal data platforms, preferably supporting both batch + streamingDeep experience in data governance, contract testing, and schema evolution workflowsFamiliarity with tools like Iceberg, Delta, OpenMetadata, Kafka, Spark, MLflow, Feast, Airflow, dbt, or DagsterBuilt or scaled ML platform components (e.g., feature stores, training pipelines, model registries) a major plusStrong 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 intelligenceExecutive-Level Influence work directly with VPs and the CTO org; shape the future of logistics technologyCareer-Defining Impact contribute to an industry-wide digital transformation with global-scale visibility and outcomesGlobal 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 DataLogistics 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 AnalyticsMIDAS is an engineering-first initiative - it draws from modern 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.? Youll Own the Foundation for AI at MaerskAI is a strategic focus. Your team will lay the foundation to support use cases like:LLM copilots for internal operationsAI-driven ETA predictionsAI agents for customer serviceML 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. Youll shape the delivery strategy and operating model for a multi-year transformation.??
Ready to Build What Moves the World?
If youve built platforms that engineers love, unified data at scale, and want to define the data + AI fabric for global trade, wed love to connect. This is more than a job - its 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 .