Job Description

Maersk, 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.
xf0x9fx8fx97 What Youll 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.
xf0x9fx8cx8d Scale & Complexity Youll 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

xf0x9fxa4x9d Youll 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

xf0x9fxa7xa0 Your Background

• 1215 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)

xf0x9fx9ax80 What This Role Offers
xe2x9cx85 Greenfield Engineering define and build the foundational data platform with autonomy and architectural freedom
xe2x9cx85 AI/ML Future Scope own the technical ramp toward scalable, governed, AI-driven supply chain intelligence
xe2x9cx85 Executive-Level Influence work directly with VPs and the CTO org; shape the future of logistics technology
xe2x9cx85 Career-Defining Impact contribute to an industry-wide digital transformation with global-scale visibility and outcomes
xe2x9cx85 Global Mission with Purpose help decarbonize and optimize global trade through data and systems excellence
xf0x9fxa7xb1 Why This Role is a Rare Opportunity
xe2x9cx85 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.
xe2x9cx85 Platform-Led Execution, Not Just Analytics
MIDAS 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.
xe2x9cx85 Youll 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

xe2x9cx85 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.
xf0x9fx92xac 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.
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