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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 architectures, with a strong focus on data ingestion, integration, and governance. Proficient in building Data Lakes and Data Warehouses while ensuring data quality and security across cloud platforms.
Highest-signal resume keywords
Data EngineeringETL/ELT Pipeline DevelopmentAdvanced SQL SkillsData Governance and QualityCloud Data Platforms
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 Architecture DesignData ModelingData IntegrationData ProcessingData TransformationData Lake DevelopmentData Warehouse DevelopmentPython for Data EngineeringDataOpsAgile Methodologies
Soft Skills
CollaborationTechnical Leadership
Tools & Technologies
DatabricksSAP DatasphereCogniteDataiku
Certifications & Qualifications
Databricks Certifications
Industry Keywords
Data GovernanceData QualityData SecurityCloud Data PlatformsAnalytics Environments
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Design, implement, and evolve scalable, secure data architectures.
- Develop and maintain data ingestion, integration, processing, and delivery pipelines.
- Build and maintain Data Lake, Data Warehouse, and analytics environments.
- Ensure data quality, traceability, security, and governance.
- Integrate data from different corporate systems, applications, and sources.
- Support the definition of data architecture standards, best practices, and strategies.
- Optimize data storage, transformation, and consumption processes.
- Partner with business, analytics, BI, data science, and technology teams to enable data-driven solutions.
- Serve as a technical reference for data initiatives and provide technical support to multidisciplinary teams.
- Participate in the definition, implementation, and evolution of modern cloud data platforms.
Requirements
What you’ll need- Bachelor’s degree in Information Technology, Data Science, Engineering, Mathematics, Statistics, Physics, Chemistry, or a related field.
- Experience in Data Engineering and data solution architecture.
- Knowledge of data modeling and systems integration.
- Experience building and maintaining ETL/ELT pipelines.
- Advanced SQL skills.
- Experience processing and transforming large volumes of data.
- Knowledge of data governance, quality, and security.
- Experience with Data Lake and Data Warehouse environments.
- Knowledge of cloud data platforms and services.
- Ability to collaborate effectively with technical teams and business functions.
- Databricks certifications or training.
- Experience with SAP Datasphere.
- Experience with Cognite.
- Experience with Dataiku.
- Knowledge of Python for data engineering and automation.
- Experience with modern data and analytics architectures.
- Experience in technical leadership or coordination of data teams.
- Knowledge of DataOps, Git, and agile methodologies.
- Candidates must answer whether they hold a completed degree in an IT-related field.
- A résumé is required to apply.
Benefits
Comp & perks- Open to candidates with disabilities
- Remote work