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# Azure Databricks Technical Lead

- **Company:** Techno Talent Inc.
- **Location:** Boston, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Data Integration, Extract Transform Load (ETL), Data Warehousing, Apache Hive, Python (Programming Language), Oracle (Applications), Performance Tuning, Power BI, Azure Data Lake, Azure Data Factory, Sql Optimization, Data Lakes, Pyspark, Oracle Ebusiness, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/d6f9834a-39ef-4c72-b763-11f2de9ea034

## About the Role

* Azure Databricks (Expert)

 * PySpark / Spark SQL

 * Azure Synapse Analytics

 * Delta Lake

 * Azure Data Lake Storage (ADLS)

 * Power BI

 * Python

 * Advanced SQL

 * Oracle EBS R12 source data structures

 * Oracle PBCS source data structures

 * Excellent communication skills

Preferred Qualifications

 * Experience leading enterprise Azure Data Warehouse projects.

 * Experience managing offshore teams.

 * Strong client-facing consulting experience., * Must reside in the Northeastern United States (Boston area preferred).

## Description

Seeking an experienced Azure Databricks Technical Lead to lead the design and implementation of a modern Azure data platform. The consultant will work directly with client stakeholders on data warehouse architecture, provide technical leadership, and guide the offshore development team.

Key Responsibilities

 * Lead Azure Databricks solution architecture and development.

 * Design scalable ETL/ELT pipelines using Databricks, PySpark and Spark SQL.

 * Develop Lakehouse solutions using Delta Lake and ADLS.

 * Design enterprise data warehouse solutions using Azure Synapse Analytics.

 * Develop Power BI semantic models, datasets and dashboards.

 * Work with Oracle EBS R12 and Oracle PBCS source systems for data integration

. * Perform data modelling, performance tuning and SQL optimization.

 * Lead technical discussions with client stakeholders and mentor offshore teams.


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