Job description

Job Role - Data Architect- Retail experience Expr. - 12- 15 years. Location - Remote US Interview process -2 internal + 1 Client round Bill Rate- around 80/hr on C2C Client - Good Food Holdings target Client who are Grocery retail focused Must have skills : Domain Knowledge (Strong), Databricks, SQL (Strong), Data Modeling (Strong), Talend ETL Job Description : Key Responsibilities: • Work with client SMEs and architects during discovery, design, UAT and go-live. • Should be able to assess existing warehouse/ETL landscapes and define modernization strategies. • Solid knowledge of data modeling including (but not limited to) designing designing Bronze/Silver/Gold architectures and domain-oriented data models • Design end-to-end Databrick pipelines for ingesting data from varied sources, applying data quality rules and transformations • Ability to understand existing SQL & Stored procedures, and re-engineer into Databricks-native pipelines. • Define reconciliation, governance, security and downstream integration patterns. • Provide technical leadership, architecture reviews and support proposal/solutioning activities. Primary Skills: Strong hands-on Databricks experience Strong PySpark, Spark SQL, Python and SQL skills Experience with Medallion architecture, Lakeflow Pipelines/Jobs, Auto Loader, ingestion patterns and Data Quality / Business Rules frameworks Strong knowledge of Unity Catalog, Data Modelling & Data governance Data warehouse migration and modernization experience. Good to Have skills: Redshift and Talend experience Databricks Apps and GenAI capabilities

Requirements

Must-haves

Job Role - Data Architect- Retail experience
Expr. - 12- 15 years.
Location - Remote US
Interview process -2 internal + 1 Client round
Bill Rate- around 80/hr on C2C
Client - Good Food Holdings
target Client who are Grocery retail focused
Must have skills : Domain Knowledge (Strong), Databricks, SQL (Strong), Data Modeling (Strong), Talend ETL
Work with client SMEs and architects during discovery, design, UAT and go-live.
Should be able to assess existing warehouse/ETL landscapes and define modernization strategies.
Solid knowledge of data modeling including (but not limited to) designing designing Bronze/Silver/Gold architectures and domain-oriented data models
Design end-to-end Databrick pipelines for ingesting data from varied sources, applying data quality rules and transformations
Ability to understand existing SQL & Stored procedures, and re-engineer into Databricks-native pipelines.
Define reconciliation, governance, security and downstream integration patterns.
Provide technical leadership, architecture reviews and support proposal/solutioning activities.
Strong hands-on Databricks experience Strong PySpark, Spark SQL, Python and SQL skills
Experience with Medallion architecture, Lakeflow Pipelines/Jobs, Auto Loader, ingestion patterns and Data Quality / Business Rules frameworks
Strong knowledge of Unity Catalog, Data Modelling & Data governance Data warehouse migration and modernization experience.
Redshift and Talend experience Databricks Apps and GenAI capabilities

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlgopython

Platform: jobdiva
Effort: medium