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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 implementing scalable data platforms using Databricks, including Delta Lake and Unity Catalog, while leading initiatives from concept to execution. Proficient in Python and SQL, with a strong focus on building data pipelines and ETL/ELT solutions in cloud environments like Azure, AWS, or GCP.
Highest-signal resume keywords
Databricks ExpertiseData Pipeline DevelopmentArchitectural Decision-MakingETL/ELT SolutionsCloud Platform Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData ModellingETL/ELT DevelopmentData Pipeline ConstructionArchitectural DesignData GovernanceWorkflowsCode StructureCloud-Based Solutions
Soft Skills
Technical LeadershipInfluencing DecisionsKnowledge SharingProblem SolvingCollaboration
Tools & Technologies
DatabricksDelta LakeUnity CatalogAzureAWSGCP
Certifications & Qualifications
Data Engineer ProfessionalMachine Learning Engineer ProfessionalDatabricks Champion
Industry Keywords
Data PlatformsData WorkflowsScalable SolutionsBusiness Use CasesGovernance
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSQLUnity
About the role
Key responsibilities & impact- Shape how data platforms should be designed and operated
- Lead or take ownership of data platform initiatives from concept to implementation
- Make architectural decisions and improve platforms over time
- Design scalable Databricks foundations, including Delta Lake, Unity Catalog and governance
- Orchestrate data workflows and structure code and deployments
- Design and build data flows from ingestion to consumption
- Build and maintain data models, data pipelines and ETL/ELT solutions
- Provide technical leadership and raise the capability of colleagues through reviews and discussions
- Challenge assumptions, explain trade-offs and guide decisions with engineers, product owners and CTOs
- Help clients unlock value from their data and build scalable platforms for real-world business use cases
- For candidates new to Databricks, complete a 7-month crash course involving certifications, hands-on client project work and internal knowledge-sharing, transitioning to a permanent contract after agreed milestones
Requirements
What you’ll need- Experience leading or playing a key role in taking data platforms from idea to reality
- Experience making architectural decisions, owning outcomes and improving platforms
- Deep understanding of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code structure and deployments
- New-to-Databricks candidates with strong data platform experience may apply and specialise through the offered track
- Proficiency in Python and SQL
- Experience with data modelling and building data pipelines
- Experience with Azure, AWS or GCP
- Experience building ETL/ELT pipelines and cloud-based data solutions
- Ability to define approach, architecture and first steps for ambiguous data platform initiatives
- Ability to balance pragmatic delivery with quality and long-term design
- Ability to improve colleagues' technical capabilities through reviews and knowledge sharing
- Ability to influence technical and business decisions and explain trade-offs
- Databricks certifications are nice to have, including Data Engineer Professional and Machine Learning Engineer Professional
- Databricks Champion status is nice to have
Benefits
Comp & perks- Access to Databricks learning resources, certifications and partner academies
- Regular internal knowledge-sharing sessions and workshops
- Opportunities to work hands-on with modern data and AI technologies, including Databricks and the wider data engineering ecosystem
- Flexible and collaborative working environment, with remote and hybrid working options
- International team and collaboration with clients across different industries
- Growth opportunities for technical expertise, consulting and technical leadership skills
- Regular team activities and opportunities to connect with colleagues across the wider RevoData team
- Sustainable ways of working and wellbeing-focused environment