Data Engineering Manager (Banking)

Ledgent Technology; San Diego (CA); On-site; USD 162,000 - 198,000; Full time

Job summary

Ledgent Technology seeks a senior leader to oversee a Data Engineering and Tech Lead team, delivering enterprise-scale data initiatives. The role focuses on architecture decisions, Databricks/Spark pipelines, and cloud data platforms, with mentoring responsibilities and cross-unit coordination.

This is a leadership role rather than a hands-on IC position, requiring strategic delivery across multiple business units and stakeholder alignment in a modern Lakehouse environment.

Qualifications

• 10+ years' experience managing Data Engineering and leading Technology Teams.
• 7+ years with SQL Server and cloud/on-prem data ecosystems.
• 7+ years with cloud-native data platforms (GCP, Azure, AWS) with data warehouses (BigQuery, Snowflake, Databricks).
• Expertise in Databricks and the Spark ecosystem, PySpark pipelines and modern data architecture.
• Advanced Python and PySpark, strong SQL, and modern ELT/ETL tools.

Responsibilities

• Lead a team of about 10-13 Data Engineers and Tech Leads; own delivery of enterprise-scale data initiatives.
• Make technical decisions, guide architecture, remove roadblocks, and mentor engineers.
• Ensure projects are delivered successfully across multiple business units.

Skills

Data leadership

Databricks

PySpark

SQL Server

Cloud platforms

Python

BigQuery

Snowflake

ETL tools

Education

Bachelor's degree in computer science, MIS or related degree

Tools

Databricks

Spark

Job description

Direct Hire, No C2C or 3rd Party Candidates

Must sit in either San Diego, Downtown LA, Irvine, Las Vegas, Denver, Omaha or Edison, NJ

Max salary is $180k base salary plus 20% bonus

Looking for someone who can lead a team of about 10-13 Data Engineers and Tech Leads while owning the delivery of enterprise-scale data initiatives. The environment is heavily focused on Databricks, PySpark, cloud data platforms, and modern Lakehouse architecture, but this is not a hands‑on individual contributor role. They're looking for someone who can make technical decisions, guide architecture, remove roadblocks, mentor engineers, and ensure projects are delivered successfully across multiple business units.

Direct Hire, No C2C or 3rd Party Candidates

Must sit in either San Diego, Downtown LA, Irvine, Las Vegas, Denver, Omaha or Edison, NJ

Max salary is $180k base salary plus 20% bonus

Looking for someone who can lead a team of about 10-13 Data Engineers and Tech Leads while owning the delivery of enterprise-scale data initiatives. The environment is heavily focused on Databricks, PySpark, cloud data platforms, and modern Lakehouse architecture, but this is not a hands‑on individual contributor role. They're looking for someone who can make technical decisions, guide architecture, remove roadblocks, mentor engineers, and ensure projects are delivered successfully across multiple business units.

The hiring manager is less concerned with finding the strongest individual contributor and more interested in finding someone who has successfully led Data Engineering teams through large-scale project delivery. They want someone who has managed engineers, allocated resources across projects, provided technical direction, and driven execution.

Requirements:

• Bachelor's degree in computer science, MIS or related degree
• 10+ years' experience managing Data Engineering and leading Technology Teams
• 7+ years' working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
• 7+ years' working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
• Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture 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

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.