Senior Data Lead - Azure Data Factory (ADF), Databricks

Job Summary

. Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.

The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with modern cloud data platforms.

Key Responsibilities

• Design, develop, configure, and maintain AtScale semantic models.
• Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
• Translate reporting and analytical requirements into reusable semantic models.
• Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
• Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
• Develop and optimize SQL required for semantic-model implementation and troubleshooting.
• Analyze query performance and optimize models to improve BI/reporting response times.
• Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
• Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
• Validate measures and business calculations against source data and agreed business definitions.
• Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
• Support deployment and release activities across development, test, and production environments.
• Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
• Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
• Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

• Strong hands-on AtScale development experience.
• Strong understanding of semantic modeling and multidimensional concepts.
• Hands-on experience building:
• Dimensions
• Measures
• Hierarchies
• Relationships
• Calculated metrics
• Business KPIs
• Advanced SQL skills.
• Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
• Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
• Experience integrating semantic models with BI tools such as Power BI or Tableau.
• Experience troubleshooting query and analytical performance.
• Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

• Experience working with large datasets and enterprise analytical workloads.
• Databricks/Snowflake certifications or equivalent cloud/data certifications.
• Knowledge of lakehouse architectures and Delta Lake.
• Experience with metadata management and data governance.
• Exposure to CI/CD and automated deployment.
• Experience in Healthcare and Life Sciences environments is beneficial.

Experience

• 7+ years of Data & Analytics / BI development experience.
• 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
• Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Key Responsibilities

. Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.

The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with modern cloud data platforms.

Key Responsibilities

• Design, develop, configure, and maintain AtScale semantic models.
• Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
• Translate reporting and analytical requirements into reusable semantic models.
• Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
• Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
• Develop and optimize SQL required for semantic-model implementation and troubleshooting.
• Analyze query performance and optimize models to improve BI/reporting response times.
• Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
• Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
• Validate measures and business calculations against source data and agreed business definitions.
• Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
• Support deployment and release activities across development, test, and production environments.
• Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
• Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
• Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

• Strong hands-on AtScale development experience.
• Strong understanding of semantic modeling and multidimensional concepts.
• Hands-on experience building:
• Dimensions
• Measures
• Hierarchies
• Relationships
• Calculated metrics
• Business KPIs
• Advanced SQL skills.
• Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
• Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
• Experience integrating semantic models with BI tools such as Power BI or Tableau.
• Experience troubleshooting query and analytical performance.
• Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

• Experience working with large datasets and enterprise analytical workloads.
• Databricks/Snowflake certifications or equivalent cloud/data certifications.
• Knowledge of lakehouse architectures and Delta Lake.
• Experience with metadata management and data governance.
• Exposure to CI/CD and automated deployment.
• Experience in Healthcare and Life Sciences environments is beneficial.

Experience

• 7+ years of Data & Analytics / BI development experience.
• 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
• Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Skill Requirements

. Senior AtScale Developer (2)

Role Overview

We are looking for a Senior AtScale Developer responsible for developing, configuring, testing, optimizing, and supporting enterprise semantic models using AtScale.

The candidate should have strong hands-on experience in AtScale development, SQL, dimensional modeling, BI integration, and performance optimization, along with experience working with modern cloud data platforms.

Key Responsibilities

• Design, develop, configure, and maintain AtScale semantic models.
• Build dimensions, measures, hierarchies, calculated metrics, relationships, and business KPIs based on business requirements.
• Translate reporting and analytical requirements into reusable semantic models.
• Integrate AtScale models with underlying cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric/Azure.
• Enable semantic model consumption through Power BI, Tableau, Excel, Looker, and other analytical tools.
• Develop and optimize SQL required for semantic-model implementation and troubleshooting.
• Analyze query performance and optimize models to improve BI/reporting response times.
• Work with data engineers to resolve issues in source models, fact/dimension structures, transformations, or data quality.
• Conduct unit testing, integration testing, regression testing, and performance testing of semantic models.
• Validate measures and business calculations against source data and agreed business definitions.
• Troubleshoot production issues related to semantic models, data, queries, security, or BI consumption.
• Support deployment and release activities across development, test, and production environments.
• Maintain technical documentation covering semantic models, calculations, dependencies, and deployment configurations.
• Work with architects and BI developers to ensure consistent implementation of enterprise semantic standards.
• Participate in code/model reviews and contribute to reusable development standards and best practices.

Required Skills

• Strong hands-on AtScale development experience.
• Strong understanding of semantic modeling and multidimensional concepts.
• Hands-on experience building:
• Dimensions
• Measures
• Hierarchies
• Relationships
• Calculated metrics
• Business KPIs
• Advanced SQL skills.
• Strong understanding of dimensional data modeling, including fact/dimension and star-schema designs.
• Experience with Databricks, Snowflake, BigQuery, Microsoft Fabric/Azure, or comparable cloud platforms.
• Experience integrating semantic models with BI tools such as Power BI or Tableau.
• Experience troubleshooting query and analytical performance.
• Understanding of SDLC, source control, testing, and deployment practices.

Preferred Skills

• Experience working with large datasets and enterprise analytical workloads.
• Databricks/Snowflake certifications or equivalent cloud/data certifications.
• Knowledge of lakehouse architectures and Delta Lake.
• Experience with metadata management and data governance.
• Exposure to CI/CD and automated deployment.
• Experience in Healthcare and Life Sciences environments is beneficial.

Experience

• 7+ years of Data & Analytics / BI development experience.
• 2+ years preferred of hands-on AtScale or comparable enterprise semantic-layer development.
• Demonstrated experience delivering semantic models for enterprise BI/reporting use cases.

Other Requirements