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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering scalable cloud data architectures, with a strong focus on Databricks, Delta Lake, and modern data platforms. Capable of leading technical delivery, fostering client relationships, and driving DataOps and CI/CD practices.
Highest-signal resume keywords
Cloud Data Architecture DesignDatabricks and Lakehouse SolutionsMicrosoft Azure or AWS ExpertiseDataOps and CI/CD ImplementationTechnical Leadership and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DatabricksDelta LakeUnity CatalogSparkPySparkPythonSQLData ModellingETL/ELT ApproachesData Governance
Soft Skills
Client Relationship ManagementCommunication SkillsPresentation SkillsProblem-Solving SkillsCoaching and Mentoring
Tools & Technologies
Microsoft FabricDataOpsInfrastructure as CodeDockerKubernetes
Certifications & Qualifications
Databricks AccreditationMicrosoft Azure CertificationAWS Certification
Industry Keywords
Cloud MigrationData Quality ControlsPerformance OptimizationReal-Time Data PipelinesAdvanced Analytics
Tech Stack
Tools & technologiesAWSAzureCloudDockerETLKubernetesPySparkPythonSparkSQLUnity
About the role
Key responsibilities & impact- Lead the design and end-to-end delivery of scalable, secure and resilient cloud data architectures
- Translate business requirements into data architectures, technical roadmaps and implementation approaches
- Provide technical leadership across modern data platforms
- Design enterprise Databricks and Lakehouse solutions using Delta Lake, medallion architecture, Unity Catalog and Databricks SQL
- Architect data solutions meeting performance, security, governance and operational requirements
- Shape scalable batch and real-time data pipelines
- Direct data modelling, ingestion, transformation, orchestration and integration
- Lead cloud migration and modernisation of legacy and on-premises data environments
- Establish DataOps, CI/CD and infrastructure automation approaches
- Support performance and cost optimisation of cloud data environments
- Lead technical delivery across complex client assignments
- Build trusted relationships with senior business and technology stakeholders
- Lead or contribute to solution shaping, bids, proposals, client presentations and estimations
- Identify opportunities to create further value for clients and contribute to sales targets
- Manage resources across client delivery, practice commitments and business development activity
- Provide technical leadership, coaching and mentoring to architects, data engineers and colleagues
- Support knowledge sharing, capability development and recruitment
- Stay current with cloud, data, analytics and AI technologies and assess their application to client challenges
Requirements
What you’ll need- Significant experience designing and delivering enterprise cloud data architectures within complex client or business environments
- Deep expertise in Databricks and modern Lakehouse architecture, including practical knowledge of Delta Lake and Unity Catalog
- Strong experience with Microsoft Azure and/or AWS and modern enterprise data platforms, including Databricks and Microsoft Fabric or another cloud data platform
- Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches
- Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines
- Experience designing data governance, security and data quality controls
- Experience with DataOps, CI/CD and infrastructure as code
- Strong technical problem-solving skills and ability to translate complex requirements into practical solutions
- Experience leading complex technical delivery and providing direction to multidisciplinary teams
- Strong client relationship, communication and presentation skills
- Demonstrable experience developing bids, proposals, solution responses and client presentations
- Commercial awareness, including balancing delivery, business development and chargeability expectations
- Experience coaching and developing others
- Degree in Computer Science, Information Technology or related discipline, or equivalent relevant professional experience is desirable
- Significant professional experience in data architecture, data engineering or technology consulting, including leadership of complex cloud data engagements
- Desirable: Snowflake or other enterprise data platforms
- Desirable: Relevant Databricks accreditation or certification
- Desirable: Relevant Microsoft Azure, AWS or comparable cloud certification
- Desirable: AI/ML data workflows and advanced analytics
- Desirable: Docker or Kubernetes
Benefits
Comp & perks- Medical and dental insurance cover
- Life assurance
- Pension scheme contributions
- Up to 25 days’ holiday per calendar year
- Up to 10 paid holidays each calendar year
- Additional benefits as part of Robert Half Enterprise
- Hybrid working model combining in-person collaboration with remote working
- Professional development through coaching, mentoring, knowledge sharing and capability development
- Background check required as part of the employment process