CRG Solutions logo
CRG Solutions

Enabling People and Businesses for Success

Lead BI Engineer

Business Intelligence DeveloperBusiness Intelligence DeveloperFull TimeRemoteSeniorTeam 201-500Since 2015H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

23 hours ago

Salary

0

Seniority

Senior

Job Description

Lead BI Engineer

CRG Solutions

• Architect, build, and optimize distributed data pipelines using Apache Spark in a high‑volume, mission‑critical environment. • Design and maintain enterprise Lakehouse architecture with Delta Lake, ensuring ACID compliance, lineage, auditability, and data governance. • Develop automated ingestion frameworks (batch, streaming, and event‑driven) across multiple cloud services and integration points. • Enable machine‑learning workflows by preparing feature‑ready datasets and establishing reproducible ML deployment patterns. • Lead platform‑wide data quality, access control, and cataloging frameworks. • Implement advanced cost‑optimization, cluster tuning, and performance engineering strategies. • Collaborate with Finance, BI, Operations, and ML teams to translate complex business needs into scalable data solutions. • Own production reliability, troubleshooting, and root‑cause analysis for data and ML pipelines.

Job Requirements

  • 7+ years of experience in advanced data engineering with distributed compute technologies.
  • Expert‑level Spark engineering (performance tuning, cluster configuration, partition strategies, optimization of large datasets).
  • Hands‑on experience with Lakehouse architectures including ACID transactions, schema evolution, and governance frameworks.
  • Deep proficiency in Python and SQL for large‑scale data transformation.
  • Experience supporting machine‑learning pipelines or model operationalization.
  • Proven experience architecting cloud‑native data platforms (Azure, AWS, or GCP).
  • Strong background integrating diverse, complex data sources at enterprise scale.
  • Demonstrated ability to own mission‑critical production systems.
  • Experience with distributed streaming frameworks (Kafka, Event Hubs, or similar).
  • Experience building or supporting ML platforms, feature stores, or experiment‑tracking systems.
  • Background in data security, compliance controls, or audit‑ready governance.
  • Experience automating data operations with CI/CD and infrastructure‑as‑code.

Benefits

  • Flexible work arrangements

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