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 Maersks 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 , Maersks 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 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.
