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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 building scalable data platforms using Databricks, Delta Lake, and cloud technologies. Proven ability to lead architectural decisions, develop data solutions with Python and SQL, and enhance team capabilities through knowledge sharing.
Highest-signal resume keywords
Databricks Platform ExpertisePython DevelopmentSQL ProficiencyCloud Platforms ExperienceData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Platform DesignArchitectural Decision MakingData ModellingETL/ELT Pipeline BuildingData Workflow Orchestration
Soft Skills
Technical LeadershipInfluencing DecisionsKnowledge SharingPragmatismCollaboration
Tools & Technologies
DatabricksDelta LakeUnity CatalogAzureAWSGCP
Certifications & Qualifications
Databricks CertificationsDatabricks Champion Status
Industry Keywords
Data GovernanceCloud-Based Data SolutionsData IngestionData ConsumptionData Workflows
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonSQLUnity
About the role
Key responsibilities & impact- Design, build and shape scalable data platforms
- Make architectural decisions and take ownership of platform outcomes
- Structure Databricks platforms using Delta Lake, Unity Catalog and governance practices
- Orchestrate data workflows and structure code and deployments
- Build and maintain data pipelines from ingestion to consumption
- Develop data solutions using Python, SQL and cloud platforms
- Provide technical leadership and guide decisions between technology and business
- Review work, share knowledge and raise the capability of colleagues
- Work directly with clients to deliver real business value from data platforms
- For candidates new to Databricks, complete a supported 7-month crash course involving certifications, client project work and internal knowledge-sharing, transitioning to a permanent contract upon agreed milestones
Requirements
What you’ll need- Experience leading or playing a key role in taking data platforms from idea to reality
- Ownership of outcomes and experience making architectural decisions
- Deep understanding of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code structure and deployments
- Experience with Python and SQL
- Knowledge of 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 from vague ambitions
- Ability to balance pragmatism with quality
- Ability to raise the level of colleagues through reviews and discussions
- Ability to influence technical and business decisions and explain trade-offs
- Databricks certifications are nice to have
- Databricks Champion status is nice to have
Benefits
Comp & perks- Employment in Czechia facilitated through a third-party Employer of Record/payroll provider, in line with Czech employment requirements
- Access to Databricks learning resources, certifications and partner academies
- Regular internal knowledge-sharing sessions and workshops
- Opportunities to work hands-on with Databricks and modern data and AI technologies
- Flexible and collaborative working environment
- Remote and hybrid working options
- International team across Europe
- Growth opportunities for technical expertise, consulting and technical leadership skills
- Regular team activities
- Sustainable ways of working and wellbeing-focused environment