Senior Data Engineer

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

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 requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high-quality data solutions that drive measurable business value.

• 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.

• 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

• 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