Data Engineer

Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks 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 for analytics and reporting Engineer solutions using 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 Contribute to solution architecture and deliver high-quality modern data solutions that drive measurable business value Facilitate design sessions with client stakeholders and present recommendations to leadership teams 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, including enterprise-level strategy and architecture with Unity Catalog, data warehousing, data sharing, and Mosaic AI DevOps for data, GitHub, automated testing, and containers such as AKS, Docker, and registries Excellent communication skills and ability to clearly explain concepts to teammates and customers Ability to quickly learn new concepts and technologies Preferred: experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment Preferred: experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents Preferred: experience with data management, governance, security, master data management, and industry security requirements Preferred: broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts beyond Microsoft Core Competencies Demonstrates expertise in designing and optimizing data platforms using Microsoft Azure, Databricks, and Power BI, with a strong focus on data ingestion, transformation, and governance. Proven ability to lead client engagements and deliver high-quality data solutions that align with business objectives. Highest-signal resume keywords Microsoft Azure Databricks Data Engineering PySpark DevOps for Data ATS Optimization Keywords Hard Skills Data Platform Development Batch and Streaming Data Ingestion Data Transformation Workflows SQL Spark SQL Delta Lake Data Modeling Data Governance Data Warehousing Data Sharing Soft Skills Excellent Communication Skills Client Engagement Team Collaboration Problem Solving Adaptability Certifications & Qualifications Bachelor’s Degree in Computer Science or Related Field Industry Keywords Cloud Data Solutions Data Management Data Governance Master Data Management Industry Security Requirements Tools & Technologies Microsoft Fabric Power BI Azure Data Factory Synapse Data Analytics Azure SQL Azure Cosmos DB AKS Docker GitHub Unity Catalog #J-18808-Ljbffr