Lead Data Engineer

Ascendion; Vancouver (WA); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Long-term disability insurance

Short-term disability insurance

5 personal days per year

10–15 days paid vacation

6 holidays + 1 floating holiday

Job summary

Ascendion is seeking a Lead Data Engineer to drive data platform, analytics, and data product initiatives across on-site and offshore delivery teams. You will align business requirements with technical solutions, mentor engineers, and ensure scalable, reliable data solutions using Databricks, SQL, AWS, and Airflow.

The ideal candidate has 12–15 years of data engineering experience, 4+ years with Databricks, strong stakeholder management, and excellent communication skills to partner with Fortune

Qualifications

• 12–15 years in data engineering, with 4+ years in Databricks.
• Strong SQL, Python (PySpark), and modern data platforms experience.
• Experience leading onsite-offshore delivery and stakeholder mgmt.

Responsibilities

• Lead data engineering initiatives across data platform and analytics workstreams.
• Coordinate with stakeholders and delivery teams to ensure on-time, scalable solutions.
• Mentor engineers and drive high-quality data products and APIs.

Skills

Databricks

SQL

AWS

Airflow

Datadog

APIs

Atlan

Data products

GenAI concepts

Stakeholder management

Communication

Tools

PySpark

Delta Lake

APIs

Airflow

Job description

Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.
Learn more at https://ascendion.com/.

Engineering to the Power of AI™, AAVA™, Engineering AI , Engineering to Elevate Life™, Enterprise Platforms AI , Data & Insights AI , Experience AI , GCC AI , Operations AI , Platform Engineering AI , Product AI , and Quality Engineering AI are trademarks or service marks of Ascendion ® . AAVA™ is pending registration. Unauthorized use is strictly prohibited.

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

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:

• [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!