Lead Data Engineer (Data Modeling) (#2030)

N-iX is an international company with Ukrainian roots that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

N-iX is seeking a Lead Data Engineer to join our team in delivering a world-class data platform for one of the largest transportation companies in the U.S. This role is primarily focused on data modeling within a vast data environment, including a data lake and data warehouse, integrating over 30 data sources such as Salesforce, Workday, and other advanced applications.

The initial project is expected to last 2 years, after which the successful candidate will continue working within the CTO office on similar high-impact projects. You'll have the opportunity to collaborate with and learn from a world-class engineering manager and architect, who will provide mentorship and guidance.

Key Responsibilities:

• Lead the design and development of robust data models for a large-scale data platform, encompassing data lakes and data warehouses.
• Integrate and model data from 30+ diverse data sources, including Salesforce, Workday, and other enterprise applications.
• Apply Kimball principles to ensure high-quality data modeling that supports scalable and efficient data solutions.
• Collaborate closely with engineering teams, product managers, and stakeholders to define data requirements and solutions.
• Participate in the ongoing optimization and evolution of the data platform.
• Contribute to the mentorship and development of junior engineers on the team.

Must-Have Skills:

• 5+ years of experience in data modeling, particularly within large-scale data platforms.
• Expert knowledge of Kimball data modeling principles.
• Strong proficiency in English, with excellent communication skills.
• Proven experience in integrating and modeling data from multiple sources, including enterprise systems like Salesforce, Workday, JD Edwards and a bunch of home-made systems.

Nice-to-Have Skills:

• Experience with AWS data services, including Redshift, S3, and Glue.
• Experience working with Snowflake or other cloud-based data warehouses.
• Background in working with large enterprise companies, particularly in building extensive data platforms.
• Familiarity with Scaled Agile Framework (SAFe) principles.

What We Offer:

• Opportunity to work on a high-impact, large-scale data project for a leading U.S. transportation company.
• Continuous learning and development, with access to professional certifications.
• Collaboration with a world-class team of engineers and architects.
• Generous vacation policy to maintain work-life balance.
• Potential for long-term career growth within the CTO office.