12 of 12 Remote/Hybrid Kimball Methodology Jobs

design, and distributed data storage Hands-on experience with Microsoft Fabric, Databricks, or Snowflake Proficiency in SQL, Python, and enterprise data modeling (Kimball, Data Vault, or 3NF) Familiarity with data governance, security models, and compliance frameworks (e.g., GDPR, HIPAA) Experience with BI and analytics tools (Power BI, Tableau ...

Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ...

expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II Strong stakeholder management ...

optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault Strong SQL, Python, Spark, and Snowflake SQL skills Experience with CI/CD and Infrastructure as Code tools such ...

complex near real-time and/or batch data integration solutions. Familiarity with both traditional and non-traditional analytical data design methodologies (e.g., Kimball, Inmon). Strong SQL programming skills and a solid understanding of relational database concepts. Experience in loading and maintaining enterprise data warehouse environments. Nice ...

Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such as Fivetran HVR. Excellent problem-solving skills. Good communication skills and comfortable working with both technical and non-technical teams ...

senior stakeholder s.Excellent communication and stakeholder management skills across technical and business audience s. Desirable Ski llsFamiliarity with data warehousing methodologies and patterns (Kimball, Inmon, Data Vaul t).Exposure to data catalogue or metadata management tooling (e.g., Collibra, Informatica, or simila r).Knowledge of cloud data platforms ...

understanding of data modelling Strong Python, SQL and Terraform skills AWS services (GCP considered) Nice to have: CI/CD Snowflake Dbt Iceberg Kimball/Datavault Git Dagster BENEFITS The chance to help shape a growing data platform and engineering culture Clear progression opportunities as the data team ...

architecture, with clear ingestion, transformation, and consumption layers Creating robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas Supporting and enhancing the Power BI semantic layer and reporting outputs Working closely with stakeholders to translate business requirements into scalable ...

Utilize DBT (Data Build Tool) to create and manage data transformation processes, ensuring consistent and reliable data output. ▪ Implement and maintain DataVault and Kimball-style data models to ensure efficient storage, retrieval, and analysis of data. ▪ Monitor and optimize the performance of data pipelines and data warehouses, identifying … with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift. Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies. Proficient in SQL and data querying languages for data manipulation and analysis. Proficiency in Azure Data Factory and DBT, with ...

the team member Data Modeling and Design: Design and maintain logical and physical data models (dimensional, relational) across our Databricks lakehouse environment. Apply Kimball star schema and normalized modeling best practices. Translate business requirements into clear, well-documented data structures that serve analytics, reporting, and AI consumption. Cross … curiosity and willingness to learn is essential Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture patterns Familiarity with Data Vault methodology Experience in financial services, auto lending, or regulated industries Exposure to AI-assisted tooling for metadata, documentation, or data profiling tasks Target Compensation ...

Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise environments Proven hands … expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling ...