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 Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.

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

Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams

Contribute to estimation, project planning, and delivery management for client engagements

Bachelor’s degree in computer science or related field

8 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

Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI

Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements

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