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Solomon Page Logo Solomon Page · IT - Software Development

Manager Data Engineer

United States, Irvine, CA Employment contract 50.00 - 60.00 USD / Hour · Job Posted June 29, 2026
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Job Description

We are seeking a highly skilled Manager Data Engineer to lead data engineering initiatives across globally distributed teams. This is a hands-on leadership role requiring deep expertise in Databricks, PySpark, AWS, Airflow, Python, and modern data platform architectures. The ideal candidate will drive technical excellence, establish engineering best practices, mentor team members, and serve as a key technical liaison between business stakeholders and engineering teams.

Job Responsibility

  • Own technical direction, architecture standards, and code quality across globally distributed engineering teams
  • Define and enforce best practices for data modeling, data pipeline design, CI/CD, and engineering governance
  • Drive Databricks and cloud platform excellence, including Medallion Architecture, Delta Lake, Unity Catalog, Spark optimization, and AWS services
  • Lead the design, development, and optimization of enterprise-scale data engineering solutions
  • Champion AI-assisted engineering practices, including Copilot adoption, context engineering, reusable skills libraries, and output validation
  • Measure and improve engineering productivity through AI efficiency gains and sprint velocity metrics
  • Mentor engineers, conduct code reviews, lead architecture discussions, and foster a culture of technical excellence
  • Collaborate with client stakeholders to translate business requirements into scalable engineering solutions
  • Provide delivery risk assessments, technical recommendations, and governance reporting insights
  • Coordinate effectively with offshore teams and global delivery organizations

Requirements

  • 8+ years of experience in Data Engineering, Data Platform Delivery, or related disciplines
  • Proven experience leading globally distributed engineering teams within managed services environments
  • Strong hands-on experience designing and building enterprise-scale data platforms
  • Experience working directly with business stakeholders and client-facing teams
  • Excellent communication, leadership, and stakeholder management skills
  • Strong problem-solving and analytical abilities
  • Data Engineering & Big Data: PySpark, Hive, SQL, Python, Databricks, Delta Lake, Unity Catalog, Apache Spark Performance Tuning, Enterprise Data Warehousing Concepts
  • Cloud & Platform Technologies: AWS, AWS Data Quality (AWS DQ), Airflow, Redshift, SQL Data Warehouse (SQLDW), GitHub, BitBucket
  • Data Architecture & Modeling: Data Modeling, Enterprise Data Architecture, Data Pipeline Design, CI/CD Best Practices, Medallion Architecture
  • Leadership & Delivery: Technical Leadership, Code Reviews, Design Reviews, Client Engagement, Offshore Team Coordination, Governance Reporting, Risk Management

Nice to have

  • Experience building Enterprise Data Models within Financial Services or Asset Management domains
  • Knowledge of asset classes including Fixed Income (FI), Equities, and related financial instruments
  • Experience with Kafka and advanced data streaming architectures
  • Knowledge of dbt
  • Experience with DevOps practices and automation
  • Experience with AI and AI-assisted engineering workflows
  • Advanced development and optimization experience within large-scale data engineering pipelines
  • Databricks Professional Certification or Databricks Solution Architect Certification

What we offer

  • Medical
  • Dental
  • 401(k)
  • Direct deposit
  • Commuter benefits
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