Brillio

2 days ago

Lead Data Engineer - R01568940

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design and build modern data pipelines and data models that power studio decision-making through large-scale lakehouse and warehouse analytics. Work with Databricks, Azure Synapse Analytics, Azure Data Explorer, Azure Data Factory, and ETL/processing for real-time and batch workloads. Partner with business and product teams to improve data capture and support test-driven development, while building scalable data architecture using strong engineering practices.

Location: Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Build state-of-the-art pipelines and data models that support the studio’s decision-making process.
•Develop and run large-scale lakehouse and warehouse analytics systems for real-time and batch data processing.
•Create ETLs and processing jobs using Databricks and Azure Data Factory.
•Collaborate with business, design, test, and development teams to shape how data is captured and used.
•Build and support a high-quality, modern, scalable data architecture using modern engineering practices.

Pay and Benefits

Salary: USD 120,000 - 125,000 annually

Key Requirements

•5+ years of experience with SQL.
•5+ years designing and implementing scalable ETL processes, including data movement and quality tools.
•3+ years using modern Big Data Analytics with Data Lake, Spark, and formats like Parquet.
•2+ years building cloud-hosted data systems, with Azure preferred.
•Attention to detail and modern engineering practices to build and support high-quality data architecture at scale.

Experience:5+ yearsData engineeringBig data

Skills:Attention to detailModern engineering practicesData-driven developmentCollaborationQuality focus

Tech Stack:AKSEvent HubAzure DevOpsCosmos DBAzure FunctionsDatabricksAzure Synapse AnalyticsAzure Data ExplorerETLAzure Data FactoryLakehouseWarehouse analyticsAzure DatabricksFabricSparkParquetDelta lakeKustoAI/MLFeature engineering

Company Brief

Brillio

Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn

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Brillio

2 days ago

Lead Data Engineer - R01568940

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Build state-of-the-art pipelines and data models that support the studio’s decision-making process.
•Develop and run large-scale lakehouse and warehouse analytics systems for real-time and batch data processing.
•Create ETLs and processing jobs using Databricks and Azure Data Factory.
•Collaborate with business, design, test, and development teams to shape how data is captured and used.
•Build and support a high-quality, modern, scalable data architecture using modern engineering practices.

Pay and Benefits

Salary: USD 120,000 - 125,000 annually

Key Requirements

•5+ years of experience with SQL.
•5+ years designing and implementing scalable ETL processes, including data movement and quality tools.
•3+ years using modern Big Data Analytics with Data Lake, Spark, and formats like Parquet.
•2+ years building cloud-hosted data systems, with Azure preferred.
•Attention to detail and modern engineering practices to build and support high-quality data architecture at scale.

Experience:5+ yearsData engineeringBig data

Skills:Attention to detailModern engineering practicesData-driven developmentCollaborationQuality focus

Company Brief

Brillio

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn