Data Solutions Engineer

BakerHostetler is recognized as one of the leading law firms in the country, and they are seeking a Data Solutions Engineer. In this role, you will design and develop enterprise data solutions, working closely with cross-functional teams to understand data needs and enhance the company's enterprise data strategy.

Responsibilities:

• Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs
• Design and develop scalable and effective data solutions to support the flow and integration of data across systems
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data
• Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage
• Support the Enterprise Data Model by managing the medallion architecture layers in the data lake
• Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity
• Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions
• Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs

Requirements:

• Proficiency in Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage
• Proficiency in Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow
• Proficiency in Azure Logic Apps, Azure DevOps, Power Automate, REST API
• Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data
• Data analysis, data modeling, data architecture, and master data management
• Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
• Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
• Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
• Version control and CI/CD practices for data workflows using Azure DevOps and Git
• Bachelor's degree in Computer Science, Information Technology, or a related field
• 5 years of hands-on experience developing data and software solutions
• Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff)
• Ability to lead and build consensus among peers and staff
• Understanding and ability to follow project management methodologies
• Accurately manage and report time worked on projects
• Ability to prioritize and manage tasks effectively
• Ability to work in a fast-paced, flexible environment
• Ability to effectively communicate technical concepts with an audience
• Must be able to perform essential duties of the position with time constraints, interruptions, and under stress
• Demonstrates attention to detail with a professional, efficient, and business-like manner
• Proactive and showing initiative, flexible, and willing to take on new and challenging tasks