Lead Data Engineer

Ascendion

$120K — $130K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12-15 years of data engineering experience, including 4+ years with Databricks.
  • Strong expertise in Databricks, PySpark, SQL, AWS, Airflow, Delta Lake, and real-time data processing.
  • Experience with Data Products, Telemetry Data, Clean Rooms, APIs, and modern data platforms.
  • Knowledge of GenAI concepts, RAG, Agentic AI frameworks, and Databricks AI capabilities.
  • Proven ability to lead onsite-offshore teams, manage stakeholders, and drive successful project delivery.
  • Excellent communication, client-facing, and mentoring skills.

Responsibilities

  • Lead data engineering initiatives and coordinate with business stakeholders.
  • Serve as the key liaison between onsite and offshore delivery teams.
  • Drive onsite requirements and foster collaboration across teams.
  • Support the successful execution of data platform, analytics, and data product initiatives.
  • Deliver scalable data solutions and manage project timelines.

Benefits

  • Medical, dental, and vision insurance available.
  • 401(k) retirement plan.
  • Long-term and short-term disability insurance.
  • 5 personal days accrued each calendar year, compliant with local laws.
  • 10-15 days of paid vacation time and 6 paid holidays plus 1 floating holiday annually.
  • Access to Ascendion Learning Management System.
Full Job Description
Title Lead Data Engineer

Role Overview

The Lead Data Engineer will lead data engineering initiatives and serve as the key liaison between business stakeholders, onsite teams, and offshore delivery teams. This role combines technical leadership with delivery coordination to ensure the successful execution of data platform, analytics, and data product initiatives.

The ideal candidate will have expertise in Databricks, SQL, AWS, Airflow, Datadog, APIs, Atlan, and Data Products, along with strong stakeholder management and communication skills. They will drive onsite requirements, foster collaboration across teams, and support the delivery of scalable data solutions.

Required Skills & Experience
  • 12-15 years of data engineering experience, including 4+ years with Databricks.
  • Strong expertise in Databricks, PySpark, SQL, AWS, Airflow, Delta Lake, and real-time data processing.
  • Experience with Data Products, Telemetry Data, Clean Rooms, APIs, and modern data platforms.
  • Knowledge of GenAI concepts, RAG, Agentic AI frameworks, and Databricks AI capabilities.
  • Proven ability to lead onsite-offshore teams, manage stakeholders, and drive successful project delivery.
  • Excellent communication, client-facing, and mentoring skills.

Preferred Qualifications
  • Databricks Certified Data Engineer Professional/Architect.
  • AWS Certification in Data Engineering, Analytics, or AI.


Salary and Other Compensation:

The annual [salary/hourly rate] for this position is between [$120,000-130,000 annually]/[$65.00-70.00 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Preferred Skills

databricks
  • AWS
  • Pyspark
  • Kafka
  • Streaming
  • Data Engineering


Job details

Job ID 333109

Role Lead Data Engineer

Location Vancouver, Washington, US

Job type Direct Hire

Recruiter Gaurav

Email [email protected]

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