Senior Consultant (Databricks)

Unison Group; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Unison Group seeks an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. You will collaborate with cross-functional teams to build scalable data solutions that support analytics, AI, and business intelligence initiatives.

The role focuses on data engineering, cloud technologies, ETL development, and performance tuning of Spark jobs, Delta Lake architectures, and Databricks workflows, with strong emphasis on quality and security.

Qualifications

• Experience with Databricks Platform, Spark, and Delta Lake.
• Strong SQL and data modelling skills.
• Experience on cloud platforms (AWS/Azure/GCP) preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
• Develop and manage Delta Lake architecture for reliable data processing.
• Integrate data from databases, APIs, streaming platforms, and cloud storage.
• Collaborate with stakeholders, data analysts, and data scientists to translate requirements.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality, governance, and security best practices.
• Monitor production workloads and troubleshoot performance issues.
• Automate deployment processes using CI/CD pipelines.
• Mentor junior team members and provide technical guidance during project delivery.

Skills

Databricks Platform

Apache Spark

PySpark

Spark SQL

Delta Lake

Unity Catalog

Databricks Workflows

SQL

Data Modeling

Cloud Platforms

Data Lakes/Warehouses

Orchestration Tools

Git

CI/CD / DevOps

Analytical Skills

Troubleshooting

Tools

Azure Data Factory

Apache Airflow

Git

CI/CD Pipelines

Job description

Job Summary

We are seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate with cross-functional teams to build scalable, secure, and high-performance data solutions that support analytics, AI, and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
• Develop and manage Delta Lake architecture for reliable and efficient data processing.
• Integrate data from multiple sources including databases, APIs, streaming platforms, and cloud storage.
• Collaborate with business stakeholders, data analysts, and data scientists to understand business requirements.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality, governance, and security best practices.
• Monitor production workloads and troubleshoot performance issues.
• Automate deployment processes using CI/CD pipelines.
• Mentor junior team members and provide technical guidance during project delivery.

Required Skills

• Strong experience with Databricks Platform.
• Hands-on expertise in Apache Spark, PySpark, and Spark SQL.
• Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
• Strong SQL programming and data modeling skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience working with data lakes, data warehouses, and modern data architectures.
• Knowledge of orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
• Experience with version control tools such as Git.
• Understanding of CI/CD practices and DevOps concepts.
• Excellent analytical, troubleshooting, and problem-solving skills.