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Callen-Lenz

Data Architect / DBA

Salisbury, United KingdomHybrid · United Kingdom
Staff · IT
POSTED 30 SEPT
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Role
41 days opentrue age
Posted 30 Sept
Payin text
£65k–75kposted
▼ −12% vs market median £80k
£53k£113k
Market p25–p75
£53k–£113k
United Kingdom · n=99 · 365d to 6 Nov
CompanyCallen-Lenz →
20open roles
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Closed · 30d
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23,277open · Staff Other
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All tracked boards · live 10 Nov · n=23,277

Data Architect / DBA

Vacancy Reference: CLA- 444

Position: Full-time

Location: Salisbury, Wiltshire, UK

Salary: £65,000 - £75,000

At Callen-Lenz, we are expanding the limits of what is possible. We specialise in crewed and uncrewed aircraft operations and technology and having recently received investment into the business we are going through a period of rapid growth and development and are looking for key roles to assist with these changes. Callen-Lenz offers innovative and customer-focused UAS solutions through our 4 key business strands: technical services, products, platforms and operational services. We are looking for individuals to help drive forward our expansion, placing you at forefront of UAS development in the UK.

Our Values

Innovation

Integrity

Collaboration

Excellence

Why Work for Us

Based in the heart of rural Wiltshire, close to the Historic city of Salisbury you will join our rapidly growing, friendly and multi-disciplined team, working on a range of diverse and interesting projects, leading the way in this exciting field and witnessing the full lifecycle of our products. The Callen-Lenz team are passionate about what we do, and we are searching for individuals to grow with us as we expand into the aerospace industry.

Our benefits include:

25 days annual leave per year (plus bank holidays)

Buy/Sell holiday policy up to 5 days either way

Pension Scheme via Royal London

Company contributed Share Incentive Plan.

Green Car Scheme

Life assurance scheme (6x basic salary)

Income protection policy (75% of basic salary)

Private Health Insurance via Bupa

Private Dental insurance via Bupa

Enhanced Maternity and paternity

1 Professional membership reimbursed per year

1 paid volunteering day per year

Access to an independent financial advisor year round

Training & development opportunities

About the role

As the Data Architect / DBA, you will be responsible for the strategic design, governance, quality, security, and management of enterprise data assets across the organisation. The successful candidate will ensure that organisational data is accurate, consistent, secure, and optimised to support business operations, reporting, analytics, engineering processes, and strategic decision-making.

Responsibilities

Data Architecture & Strategy

Develop and maintain the enterprise data architecture roadmap aligned with business objectives.

Design logical and physical data models supporting current and future enterprise applications.

Define standards, principles, and best practices for enterprise data management.

Create and maintain data dictionaries, metadata repositories, and documentation.

Establish scalable architectures supporting ERP, PLM including Manufacturing Systems, and reporting platforms.

Collaborate with business and technical stakeholders to ensure data structures support operational and strategic requirements

Data Governance

Lead the organisation's Data Governance framework and strategy.

Establish policies, standards, controls, and procedures governing enterprise data.

Define ownership, stewardship, and accountability models for critical business data.

Develop data quality metrics and governance KPIs.

Support compliance requirements related to data security, privacy, retention, and auditability.

Database Administration

Administer, monitor, maintain, and optimise enterprise database environments.

Ensure high availability, performance tuning, backup, recovery, and disaster recovery planning.

Implement database security controls and access management.

Manage database upgrades, patching, and lifecycle maintenance activities.

Troubleshoot and resolve database performance and integrity issues.

Monitor database capacity planning and growth forecasting.

Data Quality & Data Cleansing

Lead enterprise data quality improvement initiatives.

Assess existing data sources and identify quality issues, duplicates, inconsistencies, and gaps.

Develop data cleansing standards, validation rules, and remediation processes.

Manage Master Data Management (MDM) activities for key business entities including Customers, Suppliers, Products, Bill of Material (BoM), Engineering Parts, Inventory items

Establish ongoing monitoring processes to sustain data integrity.

Data Migration & Transformation

Lead data migration workstreams for enterprise technology implementations.

Define migration strategies, methodologies, and governance controls.

Perform data discovery, profiling, mapping, transformation, validation, and reconciliation activities.

Oversee migration of data into:

Product Lifecycle Management (PLM) systems

Enterprise Resource Planning (ERP) systems

Engineering repositories

Manufacturing systems

Other ad hoc business systems, Reporting and Analytics platforms

Develop migration templates, validation processes, and cutover plans.

Coordinate migration testing including unit, integration, user acceptance, and production readiness testing.

Ensure successful data conversion and post-go-live stabilisation.

Enterprise System Integration

Design and support integrations between ERP, PLM, CRM, Manufacturing, Quality, and reporting systems.

Define data exchange standards and interface requirements.

Collaborate with application owners and implementation partners to ensure data consistency across platforms.

Support API, ETL, middleware, and data integration initiatives

Reporting & Analytics Support

Partner with business leaders to enable reliable reporting and analytics capabilities.

Ensure data structures support operational reporting and business intelligence solutions.

Maintain trusted data sources and reporting datasets.

Stakeholder Collaboration

Work closely with Engineering, Operations, Supply Chain, Finance, Quality, Manufacturing, and IT teams.

Serve as the primary data subject matter expert during business transformation projects.

Provide guidance on data-related risks, dependencies, and opportunities.

Health & Safety

Demonstrate in daily activities a commitment to health and safety in the workplace by always ensuring tasks are performed in the safest possible manner.

Report all hazards and incidents that the individual is party to, or observes, in the correct manner.

Source · Callen-LenzFirst seen 7 NovOriginal ↗