Data Engineer: Lakehouse & Azure Platform

Valorem Reply; Kansas City (MO); On-site; USD 110,000 - 160,000; Full time

Job summary

Valorem Reply seeks a seasoned Data Engineer to design, build, and optimize modern data platforms for clients using Microsoft Azure, Fabric, Power BI, and Databricks. You’ll engage directly with clients, translate business needs into scalable data solutions, and drive lakehouse architectures with a strong emphasis on governance and security.

The role blends architecture, implementation, and client-facing delivery, requiring deep technical expertise and clear communication with stakeholders.

Qualifications

• 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.

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.

Skills

Client engagement

Data architecture

Cloud data platforms

Azure Databricks

Spark / PySpark

SQL / Python

DevOps for data

Communication skills

Education

Bachelor’s degree in computer science or related field

Tools

Azure Databricks

Databricks Unity Catalog

Delta Lake

Azure Synapse

Power BI

Azure Data Factory

Kubernetes / AKS

GitHub

Docker

Job description

Valorem Reply seeks a seasoned Data Engineer to design, build, and optimize modern data platforms for clients using Microsoft Azure, Fabric, Power BI, and Databricks. You’ll engage directly with clients, translate business needs into scalable data solutions, and drive lakehouse architectures with a strong emphasis on governance and security.

The role blends architecture, implementation, and client-facing delivery, requiring deep technical expertise and clear communication with stakeholders.