Databricks Developer - Delan Associates, Inc

OpenTalent; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

OpenTalent is seeking a highly skilled Databricks Developer to design and manage modern data platforms using the Databricks Lakehouse architecture. You will build scalable data pipelines with PySpark, Python, and SQL, implement Delta Lake features, and drive data modeling, quality, and governance across enterprise-scale systems.

You will collaborate with architects, analytics teams, and business stakeholders to translate requirements into robust technical solutions, optimize workloads for

Qualifications

• Must have strong experience with PySpark for large-scale data processing.
• Proficient in Python programming and SQL development.
• Experience building and optimizing Databricks Lakehouse platforms.
• Knowledge of Delta Lake features (ACID, time travel, schema evolution).
• Experience with data modeling techniques (Star/Snowflake/Data Vault).
• Experience implementing data quality frameworks and governance.

Responsibilities

• Design scalable data solutions using Databricks Lakehouse Architecture.
• Develop and maintain data pipelines with PySpark, Python, and SQL.
• Build and optimize ETL/ELT workflows for batch and near real-time processing.
• Implement Delta Lake features including ACID transactions and time travel.
• Design enterprise data models to support reporting and analytics.
• Ensure data quality with validation, monitoring, reconciliation, and governance.
• Manage data catalogs, metadata management, and data lineage.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Optimize Databricks workloads for performance and cost efficiency.
• Implement security and access controls within the Databricks ecosystem.

Skills

PySpark

Python

SQL

Delta Lake

Data modeling

Data quality

Data governance

Tools

Databricks

Unity Catalog

Data Catalog

Azure Data Factory

Azure Synapse

ADLS

Job description

We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have strong experience in PySpark, Python, SQL, Delta Lake, data modeling, data quality frameworks, and enterprise-scale data engineering solutions. The role involves designing, developing, and optimizing scalable data pipelines that support analytics, reporting, and AI/ML initiatives.

Key Responsibilities

• Design and implement scalable data solutions using Databricks Lakehouse Architecture.
• Develop and maintain data pipelines using PySpark, Python, and SQL.
• Build and optimize ETL/ELT workflows for batch and near real-time data processing.
• Implement Delta Lake features including ACID transactions, time travel, schema evolution, and data versioning.
• Design and maintain enterprise data models to support reporting and analytics requirements.
• Ensure data quality through validation, monitoring, reconciliation, and governance controls.
• Develop and manage data catalogs, metadata management, and data lineage processes.
• Collaborate with business stakeholders, architects, and analytics teams to gather and translate requirements into technical solutions.
• Optimize Databricks workloads for performance, scalability, and cost efficiency.
• Implement security, access controls, and governance best practices within the Databricks ecosystem.
• Support troubleshooting, root cause analysis, and production issue resolution.
• Contribute to data platform modernization and cloud migration initiatives.

Required Technical Skills

Databricks

• Strong experience with Databricks Architecture and platform administration.
• Hands-on expertise in Databricks Lakehouse Architecture.
• Deep understanding of Delta Lake concepts and implementation.
• Experience with Unity Catalog / Data Catalog and metadata management.
• Knowledge of Databricks Workflows, Jobs, Clusters, and Performance Tuning.

Data Engineering

• Strong proficiency in PySpark for large-scale data processing.
• Advanced Python programming skills.
• Expert-level SQL development and query optimization.
• Experience in building robust ETL/ELT pipelines.

Strong understanding of data modeling techniques including:

• Star Schema
• Snowflake Schema
• Dimensional Modeling
• Data Vault (preferred)

Data Governance & Quality

• Experience implementing data quality frameworks and validation checks.
• Knowledge of data lineage, metadata management, and governance processes.
• Experience with data reconciliation, profiling, and monitoring tools.

Cloud & Platform Experience (Preferred)

• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Azure Data Factory
• Azure Synapse Analytics
• CI/CD pipelines (Azure DevOps, GitHub Actions)

Qualifications