At a Glance
- Tasks: Lead the design of modern data platforms and analytics architectures in a dynamic environment.
- Company: Gravitas, a fast-paced tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team with exciting projects and career advancement opportunities.
- Why this job: Be a Databricks champion and shape the future of data architecture.
- Qualifications: Significant Databricks experience and strong data engineering skills required.
The predicted salary is between 72000 - 88000 £ per year.
Overview
Gravitas is seeking a Senior Data Architect to lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment.
You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition.
Key Responsibilities
- Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance.
- Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets.
- Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services.
- Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential).
- Translate business requirements into target-state data models, ingestion patterns, and semantic layers.
- Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness.
- Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage).
Essential Requirements
- Significant Databricks experience required, including production-scale deployments and optimisation.
- Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns.
- Prior experience within a consulting practice with exposure to both pre-sales and delivery leading on RFI and RPF responses, discovery, risk and high-level estimates.
- Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems.
- Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences.
- Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management.
- Working knowledge of Dev Ops practices, infrastructure as code, and automated testing for data pipelines.
Desirable
- Databricks Certifications highly desired (e. g., Data Engineer, Data Analyst, Machine Learning, or Architect).
- Experience delivering governance frameworks, catalogue implementations, and operating models.
- Exposure to MLOps and analytics enablement.
Senior Data Architect in Slough employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking organisation in Reading that is committed to digital transformation and innovation. As the Head of Cloud Infrastructure, you will benefit from a hybrid working model, a culture that values meaningful change, and ample opportunities for professional growth within a supportive team environment. With a focus on modernisation and a strong commitment to employee development, this role offers a unique chance to shape the future of cloud infrastructure while enjoying the stability of a well-established company.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
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