Data Platform Manager

FirstPort Limited; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Emeria UK is seeking an experienced Data Platform Manager to lead the data platform team and deliver the next-generation data capabilities for the group in the UK & Ireland.

Reporting to the Head of Data & Analytics, you will own delivery planning, establish governance, work with senior stakeholders, and drive a scalable medallion architecture across ingestion, modelling and data products.

Qualifications

• Proven experience leading Data/Analytics Engineering teams.
• Experience building data platforms and governance.
• Experience with data warehouse or lakehouse architectures.
• Ability to work with senior stakeholders and EA teams.

Responsibilities

• Oversee ingestion, transformation, orchestration, and lifecycle of data assets.
• Implement a medallion architecture for trusted data assets.
• Set engineering practices for versioning, testing, deployment, and ops.
• Lead analytics engineering and cross-functional data products.
• Coach and develop Data Engineering and Analytics teams.
• Plan capacity and support recruitment and succession.

Skills

Data leadership

Analytics engineering

SQL & data engineering

Stakeholder collaboration

Education

Relevant degree in data/tech

Tools

Data warehouse

Lakehouse architecture

Data governance tools

Job description

Hours: 35 hours per week- Monday to Friday

Emeria UK operates in the residential real estate sector through its operating brands of FirstPort, Innovus, Knight Square and Campions. As the Data Platform Manager you will be contributing to Emeria’s vision to be the leader of residential real estate services in the UK & Ireland

We are seeking an experienced Data Platform Manager to lead our data platform team and implement the organisation's next-generation data platform capabilities.

Reporting to the Head of Data & Analytics, the role combines people leadership, platform implementation and strong technical contribution. The Data Platform Manager will work closely with Group colleagues to apply shared standards and principles within the UK organisation, while contributing practical expertise and informed challenge to their continued development.

The platform will provide governed, scalable data foundations for business intelligence, analytics engineering, data science, AI interoperability and relevant enterprise architecture use cases. Business Intelligence and broader Analytics capabilities are managed by separate teams.

Key Accountabilities

Data Engineering and Analytics Engineering

• Oversee reliable ingestion, transformation, orchestration, modelling and lifecycle management across the data platform.
• Implement a medallion architecture that supports trusted, reusable and well-governed data assets.
• Establish effective engineering practices for version control, automated testing, deployment and operational support.
• Lead analytics engineering practices, including dimensional modelling, semantic modelling, shared metrics and curated business-facing data products, partnering with consuming teams to ensure platform outputs are usable, dependable and aligned to agreed requirements.
• Lead, coach and develop a cross-functional team spanning Data Engineering and Analytics Engineering.
• Build an accountable, collaborative culture focused on quality, reliability and continuous improvement.
• Plan team capacity, identify capability gaps and support recruitment and succession planning.

Platform Implementation and Ownership

• Lead the local implementation and ongoing operation of the Group-provided data platform and reference architecture.
• Contribute strong technical expertise, implementation feedback and constructive challenge to the evolution of Group data platform standards and principles.
• Own delivery planning, technical prioritisation, service performance and continuous improvement for the data platform.
• Own the platform's integration with key data governance, catalogue, lineage, data quality and master data capabilities.

Person Specification

Experience

• Proven experience leading Data Engineering, Analytics Engineering or modern data platform teams.
• Experience contributing to the development of shared architecture standards, principles and engineering patterns through practical delivery expertise.
• Experience implementing & managing data warehouse, lakehouse or medallion architecture patterns.
• Experience working effectively with senior stakeholders, Enterprise Architecture, governance functions and specialist technology teams.

Technical Skills

• Expert knowledge of data ingestion, transformation, orchestration, SQL-based development and software engineering practices.
• Expert understanding of modern data platform architecture, dimensional modelling, and business-facing analytical data design.
• Ability to implement centrally defined architectures while identifying local requirements, delivery risks and opportunities for improvement.
• Knowledge of version control, automated testing, deployment automation, monitoring and operational support.
• Knowledge of data quality, metadata, lineage, master data, information security and data governance principles.
• Understanding of the data foundations required to support business intelligence, data science and AI interoperability.

Qualifications and Desirable Experience

• Relevant degree, professional qualification or equivalent practical experience in data, technology, engineering or a related discipline.
• Knowledge of domain-oriented ownership and data product concepts.
• Experience operating in complex, multi-system or acquisitive enterprise environments.

Measures of Success

• Implement the Group-provided data platform architecture effectively within the UK organisation.
• Establish a scalable and governed medallion architecture supporting business intelligence, analytics engineering, data science and AI interoperability.
• Ensure reliable integration between the data platform and key governance capabilities.
• Improve data quality, lineage, discoverability, reliability and trust.
• Enable the delivery of reusable analytics engineering data products for downstream consumers.
• Build an engaged, high-performing Data Engineering and Analytics Engineering team.
• Maintain a secure, reliable and cost-effective platform aligned with Group standards and UK priorities.

The Benefits

Our customers deserve the best and the same applies to our people. We’ll support you with all of the technology, training and support that you need to do your job well. We offer competitive salaries and a range of benefit packages. In addition to the core benefits, we also offer a range of exclusive discounts on extra benefits to help you and your family make the most of your money, safeguard your future and look after your health.

Diversity

We’re committed to promoting diversity at Emeria and recruit on merit. We will consider applications from job share applicants.