Data Solutions Designer

ConvaTec · London, England ·

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Overview

In this role, you will translate business requirements and architecture into build-ready data designs within a Microsoft Fabric landscape. You’ll drive reusable patterns and ensure governance, security, and non-functional considerations are embedded.

You’ll operate at the junction of architecture and engineering, guiding senior engineers and potentially mentoring juniors. You’ll collaborate with Enterprise Architecture and the Data & Analytics team to align with enterprise standards and support data migrations.

This is a hands-on, design-focused senior IC role with opportunities to influence cross-domain data solutions.

Pay / Benefits

  • hybrid working model
  • travel up to 5%

Responsibilities

  • Lead detailed design for data and BI solutions, covering source-to-target mapping, transformation, orchestration, security, and non-functional requirements
  • Create and maintain design artefacts (data models, interface specs, lineage, architecture decisions) to guide implementation
  • Establish reusable patterns and standards to enable cross-domain reuse and CI/CD readiness; enforce data quality, reconciliation and observability by design
  • Represent the team in design reviews, provide credible technical challenge, assess risks, and recommend alternatives
  • Collaborate with Enterprise Architecture to ensure alignment with target-state architecture and enterprise standards; support migrations and decommissioning with impact analysis and sequencing

Key requirements

  • 5+ years in data engineering, solution design, data architecture, BI or analytics with end-to-end data solution experience
  • Experience designing at least one substantial data platform covering ingestion, transformation, storage and consumption
  • Strong cloud data platform experience and ability to present and defend designs to governance forums
  • Proven ability to translate business needs into technical solutions and communicate with technical and non-technical audiences
  • Knowledge of data governance, data quality, security and privacy by design
  • Experience creating high-level and low-level designs (HLD/LLD) with interface specs and architecture decisions
  • Ability to design with a platform mindset and challenge technical designs credibly
  • Clear and persuasive communication to diverse stakeholders
  • Analytical and problem-solving orientation with attention to detail
  • Ability to work independently and between architecture and engineering contexts
  • Microsoft Fabric
  • Data governance and security by design
  • CI/CD practices
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