Lead Data Engineer at Inizio Partners Corp – Los Angeles | Jobyssey

Lead Data Engineer (Los Angeles, CA)

Experience: 9–12 years
Strong data engineering background
Databricks is a must, along with experience in data modeling, building pipelines, orchestration, and supporting reporting teams

Job Functions:

Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
Prepare and maintain project documentation to support project execution and delivery.

Expected work split

50% Technical – Data modeling, hands-on coding, orchestration, and pipeline monitoring.
50% Management– Client Collaboration, requirements gathering, designing technical solutions, presentations, global team management and mentoring.

Qualifications (Required):

8-12 years' experience in data engineering and analytics roles
Bachelor's or Master's degree in analytics, computer science/engineering, economics, mathematics, or related areas.
Experience building and maintaining ETL/ELT pipelines
Solid understanding of data warehousing concepts and dimensional data modeling
Familiarity with workflow orchestration tools such as Airflow or similar
Experience working with cloud data platforms or modern data infrastructure
Entrepreneurial hands-on approach to work. Demonstrated leadership ability and willingness to take initiative
Superior analytical and problem solving skills
Outstanding written and verbal communication skills
Effective time management and attention to detail
Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron)
Experience in leading team and coordinating with internal / external stakeholders

Qualifications (Preferred):

Lead Data Engineer

Similar jobs