Manager Data Engineer

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 Title: Manager Data Engineer • Location: Irvine, CA (Hybrid) • Contract Duration: 6 Months • Rate Range: $50–60/hr on W2 • Only W2 Candidates, NO C2C Responsibilities: • 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. Required Qualifications: • 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. Required Skills: 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 Preferred Qualifications: • 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. Additional Information • Strong emphasis on hands-on technical leadership rather than people management alone. • Opportunity to drive enterprise-wide data platform modernization initiatives. • Focus on Databricks, cloud-native architectures, AI-assisted development, and modern engineering practices. • Must be comfortable working in a client-facing environment and collaborating with offshore teams. • Live coding assessment required during the interview process. If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.