Lead Data Engineer - R01568940

Brillio•Seattle, WA

About The Position

Brillio is seeking a Lead Data Engineer to join their team. This role is for a fast-growing digital technology service provider that partners with Fortune 1000 companies to leverage digital adoption for competitive advantage. Brillio is known for its skilled professionals, "Brillians", who combine digital and design thinking with client satisfaction. The company is an employer of choice, attracting talent with its focus on modern technologies and exclusive digital projects. Brillio's commitment to its employees and their growth has earned it the Great Place to Work® certification.

Requirements

5+ years of experience with SQL required.
5+ years of experience designing and implementing scalable ETL processes, including data movement and quality tools.
3+ years of experience with modern Big Data Analytics using Data Lake, Spark, and formats like Parquet.
2+ years of experience building cloud-hosted data systems. Azure highly preferred.

Nice To Haves

Experience with AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions.

Responsibilities

Building state-of-the-art pipelines and data models that are central to the studio's decision-making process.
Working on large-scale lakehouse and warehouse analytics systems that handle real-time and batch data processing.
Collaborating with business, design, test, and development teams to shape data capture strategies.
Improving test-driven methodologies and fostering a data-driven development culture.
Building and supporting a high-quality, modern data architecture at scale.
Building data pipelines in Azure Databricks/Fabric/Spark.
Working with data in delta lake format and from Azure Data Explorer/Kusto.
Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, and model monitoring data pipelines).
Preparing and governing datasets for modern AI applications (LLM/RAG, experimentation/A-B testing, and privacy-aware data access).