Senior Data Architect

Senior Data Architect, Central London An exciting Senior Data Architect role with a salary of £75,000 to £90,000 and career progression opportunities for a permanent role based full-time in our Marylebone, London office. We are offering a fantastic opportunity for an experienced Data Architect with an immediate start at a market leading, dynamic and renowned property, technology and innovative, technology-based car parking company.

Euro Car Parks is a market leading, renowned UK business, established over 50 years ago. The company operates over 3500 sites across the UK and Ireland providing specialist services to a wide range of blue-chip clients. The role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will own data architecture across our reporting, ANPR, finance and operational domains, working alongside our Solutions Architect, Head of Business Solutions and Head of Development as part of a small, high-impact architecture cluster. This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team and personally deliver the most architecturally significant pieces of work. Main Responsibilities Duties will include: Setting and personally delivering target architecture for the ECP data estate

the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development

at expert level

partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance tuning of high-impact production queries. Driving the in-flight ETL replatform

replacing legacy SSIS jobs with a table-driven, parallel-run E-L-T framework, removing Linked Server dependencies, eliminating the BI-server database-restore dependency, and adding monthly partitioning to support retention and archival. Owning the SQL estate end-to-end as the senior practitioner

security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention and archival, replication, monitoring (Redgate Monitor and equivalents), licensing, performance triage, and incident response. Acting as design authority for the wider data team

coaching the SQL Developers on Power BI authorship, dimensional modelling, query optimisation and report development; reviewing data-related changes from across IT Dev; and providing data-architecture input on cross-team initiatives (mobile, finance, AI, Amdaris partnership). Owning the Power BI / SSRS reporting platform technically

driving the SSRS-to-Power BI migration, designing the dataset and refresh strategy, and stewarding the report glossary, naming convention and underlying SQL views. Owning the canonical data dictionary and data domain definitions

keeping types, domains, lineage and load schedules current as the source of truth for engineering decisions across IT Dev. Triaging and resolving the data-related ticket tail from the application support service desk

ETL job failures, ad-hoc data corrections for blue-chip clients (e.g.visit deduplication, cross-system reconciliations), permissions requests, performance investigations, replication failures. Active participation in all team ceremonies

daily stand-up, sprint planning, retros, sprint reviews, story-mapping, and architecture review

helping the entire delivery team be the best that they can be. Contributing to forward planning for the SQL estate direction

Azure SQL adoption, on-prem retirement, tooling roadmap (e.g.dbt, Redgate), and integration with new business systems (e.g.Workday integration currently in flight). Essential Skills: Expert-level T-SQL

and SQL Server internals (5+ years), including partitioning, indexing strategy, query plan analysis, dynamic SQL, and stored procedure design at scale. Experience with

Redgate

tooling (Monitor, SQL Prompt, SQL Source Control). Hands-on data warehouse design and build

Kimball-style dimensional modelling (fact/dim schemas), incremental and full-load patterns, slowly changing dimensions, ETL/ELT framework design. Production ETL development

SSIS for understanding/decommissioning legacy work, plus modern alternatives (custom T-SQL frameworks, ADF, dbt, or equivalent) for new build. Operational SQL Server experience as the senior responsible person

backups, restore, security, monitoring, performance triage, replication. Multi-instance estate experience is essential

not a single-database background. Azure SQL

(database, managed instance, or both) including security model (EntraID groups), PaaS limitations, and migration patterns from on-prem. Power BI / SSRS authorship and architecture

dataset design, semantic model authoring, refresh and gateway strategy, DAX, M, and report-developer-coaching experience. Data security model design

role-based access controls, principle of least privilege, AD/EntraID group design, schema-level permissions, and elimination of shared/admin account patterns. PowerShell

for SQL administration, ETL orchestration glue, and operational scripting. Working in an agile environment using JIRA and Confluence

including using Confluence as the canonical home for data dictionary, schema documentation and lineage. Affinity with AI-driven development tooling

for SQL development, code generation, code review and operational automation. We expect the successful candidate to have a view on which tools add value where, and to bring that view to the role. Desirable Skills: Experience with

dbt

or comparable analytics-engineering frameworks. Experience working with

legacy SSRS estates

and migrating reporting workloads to Power BI. Experience with

on-prem SQL Server on VM

as well as Azure SQL

multi-environment estates with different operational characteristics. Experience with

SQL replication

(transactional and merge), and the operational realities of running it in production. CDC and change tracking

experience for incremental load patterns. Experience working in a

data-centric organisation

with significant volumes of operational data and a heavy reporting consumption pattern. Domain experience in

vehicle/ANPR/parking, transport, retail or financial-services data

high-volume transactional data with complex temporal characteristics. Azure DevOps

experience

YAML pipelines, infrastructure-as-code awareness (Terraform). Familiarity with

ISO 27001

controls relevant to data systems. Experience designing or maintaining

operational data dictionaries and data lineage documentation

in Confluence or comparable wikis. Interested? If you feel you have the skills and qualities to undertake this role, please click apply. We are an equal opportunities employer.

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