We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.

As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.

Responsibilities
• Work directly with clients to understand business goals, data challenges, and technical requirements
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security

Minimum Requirements
• Bachelor's degree in computer science or related field
• 6+ years of experience in data engineering, data platform development, or cloud data solutions
• 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
• Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
• Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
• DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
• Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
• Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
• Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
• Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
• Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft