Senior Data Architect

The Data Technical Architect is the design authority for the data architecture that underpins the Command Centre and enables the Control Tower. The role owns how operational data from source systems across product domains is ingested integrated resolved modelled certified and served as a single trusted near realtime view of the business.
This is a dataarchitectureled role. The primary deliverable is the targetstate data architecture layering canonical models event and entity design the semantic and KPI layer and the data quality and lineage framework that allows the Control Tower to detect exceptions trigger alerts and support rootcause analysis with confidence in the underlying data.
The role works closely with Command Centre operations BI delivery Data Engineering GDA Data Platform source system owners and Enterprise Architecture and operates within the standards set by the Tech Governance Lead.

The Data Technical Architect is the design authority for the data architecture that underpins the Command Centre and enables the Control Tower. The role owns how operational data from source systems across product domains is ingested integrated resolved modelled certified and served as a single trusted near realtime view of the business.

This is a dataarchitectureled role. The primary deliverable is the targetstate data architecture layering canonical models event and entity design the semantic and KPI layer and the data quality and lineage framework that allows the Control Tower to detect exceptions trigger alerts and support rootcause analysis with confidence in the underlying data.

The role works closely with Command Centre operations BI delivery Data Engineering GDA Data Platform source system owners and Enterprise Architecture and operates within the standards set by the Tech Governance Lead.

KEY RESPONSIBILITIES

Data Architecture & Design

Own the endtoend data architecture for the Command Centre how data flows from operational source systems across product domains (e.g. Contracts Ocean) through to the Control Tower consumption layer.

Define the targetstate data architecture and transition roadmap including the layering model (landing raw integrated/curated consumption) and the storage compute and serving choices at each layer.

Design the canonical crossdomain data layer that gives the Control Tower one consistent representation of the core business objects independent of the source systems they originate from.

Define master and reference data requirements entity resolution and crosssystem key mapping so that events from different systems resolve to the same business entity.

Establish data domain boundaries data ownership and data product definitions aligned to the Command Centre operating model.

Produce and maintain core architecture artefacts conceptual logical and physical data models data flow and lineage diagrams integration maps and architecture decision records.

Data Integration & Pipeline Architecture

Architect realtime near realtime and batch ingestion patterns streaming eventdriven CDC API and scheduled and define which pattern applies to which source and use case.

Define the operational event model and payload standards for the milestones status changes and exceptions that drive Control Tower views.

Design pipeline patterns for reliability at scale: idempotency replay latearriving and outoforder events backfill and reconciliation back to source.

Set standards for orchestration dependency management error and deadletter handling and pipeline observability.

Define and agree data contracts and SLAs with source system teams covering schema frequency volume and change management.

Define latency freshness and throughput targets per data domain and ensure the architecture demonstrably meets them.

Data Modelling & Semantic / KPI Layer

Design the dimensional event and state models required for endtoend milestone tracking cycle time dwell and exception analysis.

Architect the semantic and KPI layer so that each metric is defined once certified and reused consistently across Control Tower views and downstream reporting.

Model for drilldown so an alert on the Control Tower can be traced to transactionlevel detail and root cause without leaving the platform.

Define the historisation approach slowly changing dimensions snapshots and pointintime reporting to support trend and retrospective analysis.

Design aggregation precomputation and caching strategies so Control Tower dashboards meet responsetime expectations at production data volumes.

Data Quality Governance & Security

Define data quality dimensions rules and thresholds at each architectural layer and design how failures are detected quarantined and escalated.

Ensure Control Tower alerting is built on trusted data design the freshness completeness and validity checks that gate what is surfaced to operations.

Design endtoend metadata and lineage capture from source system field through to published KPI.

Design rolebased access row and column level security masking retention and audit into the data architecture rather than bolting it on later.

Ensure alignment with enterprise data architecture cloud strategy and BI governance standards and work with the Tech Governance Lead on dataset certification.

Identify document and drive remediation of data architecture technical debt.

Delivery & Execution

Translate the architecture into sprintready designs data contracts and backlog items for data engineering and BI delivery teams.

Provide handson technical direction prototypes proofs of concept performance tuning and resolution of complex modelling and pipeline problems.

Review data models pipelines and semantic layers for adherence to the agreed architecture.

Own volumetrics and capacity planning and support performance resilience and reconciliation testing ahead of each Control Tower release.

Drive reuse of data products models and patterns across Command Centre use cases to reduce duplication and rework.

Stakeholder & Cross-functional Collaboration

Partner with Command Centre operations and business owners to translate operational visibility and exceptionmanagement needs into concrete data requirements.

Collaborate closely with Data Engineering and Platform teams GDA source system owners Enterprise Architecture Security and Infrastructure and Cloud teams.

Present data architecture proposals to design authorities and governance forums for review and approval.

Communicate data design tradeoffs risks and dependencies clearly to nontechnical stakeholders.

Mentor data engineers and modellers on architecture patterns modelling standards and design quality.

REQUIRED QUALIFICATIONS/ SKILLS

Education & Experience

Bachelors or Masters degree in Computer Science Information Systems Data Engineering or a related field.

Extensive experience as a data architect designing largescale multisource data platforms with handson delivery experience rather than documentation only.

Proven experience designing the data architecture behind a control tower command centre or comparable realtime operational visibility solution.

Track record of integrating operational and transactional source systems across multiple business domains.

Certifications in cloud data platforms data architecture or frameworks such as DAMADMBOK or TOGAF are a plus.

Technical Competencies

Deep data modelling expertise conceptual logical and physical modelling; dimensional (Kimball) Data Vault and event/state modelling.

Strong experience with cloud data platforms lakehouse and warehouse architectures and layered (medallionstyle) design.

Handson experience with streaming and eventdriven architectures CDC message/event platforms and APIbased integration.

Advanced SQL and data performance engineering partitioning clustering incremental processing query tuning and cost optimisation.

Experience with orchestration and transformation frameworks and with data quality and observability tooling.

Working knowledge of master data management reference data and entity resolution techniques.

Experience with metadata lineage and data catalogue tooling and with certified dataset practices.

Strong understanding of data security privacy compliance and governance and the ability to design to them.

Sufficient BI and visualisation knowledge to design a semantic layer that Control Tower dashboards can consume efficiently.

Leadership & Behavioural Competencies

Strong stakeholder management and influencing skills particularly with source system owners.

Ability to communicate complex data concepts clearly and effectively.

High attention to detail combined with strategic bigpicture thinking.

Sound judgement under operational pressure and in incidentdriven environments.

Proven ability to work across teams and drive alignment without direct authority.

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 .