Data Engineering Manager

job summary:

The Data Engineering Manager will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The Data Engineering Manager will perform data architecture analysis, design, development, and testing to deliver data applications, services, interfaces, ETL processes, reporting, and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

location: San Diego, California

job type: Permanent

salary: $150,000 - 180,000 per year

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Here is the updated job description with the bold lead-ins removed from the bulleted sections.

Job Description: Data Engineering Manager The Data Engineering Manager will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The Data Engineering Manager will perform data architecture analysis, design, development, and testing to deliver data applications, services, interfaces, ETL processes, reporting, and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

This role will be onsite and available at any of the posted locations listed below. Remote or Hybrid is not available.

Locations Available:

• San Diego, CA: 4350 La Jolla Village Dr, Suite 140, San Diego, CA 92122
• Irvine, CA: 15510-15540 Rockfield Blvd, Irvine, CA 92618
• Los Angeles, CA: 1901 Avenue of the Stars, Suite 100, Los Angeles, CA 90067
• Centennial, CO: 6825 S Galena St, Centennial, CO 80112
• Las Vegas, NV: 2080 E Flamingo Rd, Suite 110, Las Vegas, NV 89119
• Kansas City, MO: 4800 Main St, Suite 100, Kansas City, MO 64112
• Edison, NJ: 343 Thornall St, Edison, NJ 08837
• Omaha, NE: 13808 F St, Omaha, NE 68137

Responsibilities

• Head the development and delivery of enterprise-scale, mission-critical data platforms (e.g., Databricks Lakehouse, Google Cloud Platform services) to meet critical business priorities.
• Establish the roadmap and vision for enterprise-scale data engineering, and execute on this roadmap to deliver shared frameworks for the broader enterprise application development teams.
• Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform.
• Establish, enforce, and champion modern DataOps and CI/CD practices within the team. Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality.
• Provide technical leadership and hands-on guidance to the Data Engineering team to ensure timely and high-quality project delivery and enhancements. Mentor engineers in advanced PySpark, SQL, dbt, Fivetran, and cloud-native development to maximize team output.
• Collaborate with multiple teams, understand overall enterprise Data Architecture, and develop end-to-end solutions for data sourcing, data processing/integration, data provisioning, and delivery.
• Deliver projects to successful completion as defined by predetermined project success criteria, including those established by the business, ensuring projects are delivered on time and within budget.
• Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale compute to meet business objectives.
• Lead, coach, and develop the team while creating a vision for the team and educating cross-functional partners on how to leverage data to identify opportunities to increase revenue and performance.
• Drive IT solutions to ensure they meet business needs, balanced with a pragmatic and integrated approach to the design of technical solutions.
• Remain up to date on key technology, business, and industry trends.
• Perform other duties and responsibilities as assigned.

qualifications:

Bachelor's degree in Computer Science, MIS, or a related field.

10+ years of experience managing Data Engineering and leading Technology Teams.

7+ years of experience working with SQL Server and other database management systems with Cloud and on-premise data ecosystems.

7+ years of experience working with cloud-native data ecosystems (Google Cloud Platform, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL), and on-premise databases including SQL Server.

Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing modern data architectures, and strong hands-on experience.

Advanced-level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt). Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms, and Data Streaming technologies.

Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction.

Expertise within Data Architecture and, most importantly, a deep understanding of overall enterprise data and the ability to align data initiatives with business goals.

Proficient in building a modern, next-generation Lakehouse platform from the ground up.

Experience in enterprise implementation, leadership, strategic planning, and strong business acumen.

Financial Services industry experience.

skills:

AWS,Spark,Big Data Platforms,BigQuery,cloud-native development,Cloud,Cloud Data Warehouses,Cloud based data platforms,cloud-native data,CI/CD,data architecture,data platform,data infrastructure,Data Integration tools,data platforms,data pipeline development,data processing,Data Streaming,DataOps,database,databases,Databricks,data ecosystems,enterprise application development,ETL processes,ETL tools,Google Cloud Platform,Data Engineering,computer science,Azure,SQL Server,NoSQL,PySpark,Python,SQL,Snowflake,advanced SQL,business acumen,communication,leadership,troubleshoot,highly motivated,automation,business objectives,business priorities,business needs,data sourcing,data quality,DB management,project delivery,dbt,ecosystems,Financial Services,Mentor,mentoring,collaboration skills,strategic planning,technical leadership,technical ability,technical direction,testing

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.



Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.



We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.