Manager - Data Engineering

Perfect Path; Deutschland; Remote; EUR 142.649 - 181.492; Vollzeit

Benefits dieser Stelle

Competitive compensation

Medical, dental, vision

401k program

Paid time off including holidays

Zusammenfassung

Perfect Path is seeking an experienced Manager of Data Engineering in Germany to lead a team focused on building and scaling data platforms. This role requires 10+ years of experience in data engineering, with strong expertise in SQL and Python, alongside leadership capabilities. Responsibilities include mentoring engineers, collaborating across teams, and executing a data engineering roadmap. The position offers competitive compensation between $167,100 to $212,600 plus benefits including medical, dental, and paid time off.

Qualifikationen

• 10+ years of experience in data engineering, with at least 3+ years in a leadership role.
• Hands-on experience with cloud data platforms like Snowflake and at least one cloud environment.
• Proven track record of delivering scalable, production-grade data solutions.

Aufgaben

• Lead, mentor, and grow a team of data engineers.
• Collaborate with stakeholders to understand data needs.
• Define and execute data engineering roadmap aligned with strategy.

Kenntnisse

SQL

Python

Data pipeline frameworks (Airflow, dbt)

Data security and governance

Communication skills

Project management

Tools

Snowflake

AWS

Redshift

Jobbeschreibung

Overview

Trajector is where purpose meets progress. We specialize in medical evidence services that become the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits. Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time.

Job Overview

We are seeking an experienced Manager of Data Engineering to lead our data engineering team in building and scaling reliable, high-performance data platforms and pipelines. This role will be responsible for designing data architectures, ensuring data quality and governance, and enabling advanced analytics and machine learning initiatives. You will combine technical expertise with leadership skills to mentor engineers, drive strategy, and deliver data solutions that support business growth.

Our tech stack is Snowflake, Sigma, Atlan, Airflow, AWS S3, dbt, Python, SQL, Terraform.

About Our Perks, Compensation, & Benefits

• Competitive compensation ranging from $167,100 - $212,600 per year plus bonus.
• Medical, dental, vision, 401k program, and more.
• Paid time off, including seven federal holidays plus two flex holidays for DEI.
• Joining a rapidly growing organization.

Responsibilities

• Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and accountability.
• Collaborate with product, engineering, and business stakeholders to understand data needs and deliver solutions.
• Define and execute the data engineering roadmap in alignment with organizational strategy.
• Oversee the design, development, and maintenance of scalable ETL/ELT pipelines and data workflows.
• Partner with data scientists and business analysts to enable advanced analytics and AI/ML initiatives.
• Establish best practices for data architecture, quality, security, and governance.
• Optimize data processing for performance, reliability, and cost-efficiency.
• Ensure compliance with data privacy and security standards.

Qualifications

• 10+ years of experience in data engineering, with at least 3+ years in a leadership or management role.
• Strong expertise with SQL, Python, and data pipeline frameworks like Airflow and dbt.
• Hands‑on experience with cloud data platforms like Snowflake, Redshift, etc.
• Proficiency in at least one cloud environment like AWS, GCP, or Azure.
• Proven track record of delivering scalable, production‑grade data solutions.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication, project management, and stakeholder engagement skills.

EEO Statement

Trajector is an EOE/Veterans/Disabled/LGBTQ employer.