Lead Data Architect

Who we are

Xenoss is a leading MarTech/AdTech software development house, recognized among the top software companies. We build complex AI-driven ad-tech solutions for technology vendors, media and gaming companies, agencies, brands, and publishers, including Activision Blizzard, Toshiba, Smartly, Voodoo, and others.

The data platform is a central element of our solutions. Our data team works on challenging projects that involve near-real-time processing of petabytes of high-intensity streaming data. We build scalable and efficient data pipelines using cutting-edge technologies and proprietary solutions.

Role Description

We seek an experienced Lead Data Architect to join the team driving our company’s strategic shift towards data engineering, data science, and AI. He will be responsible for shaping our company’s data vision and strategy and providing architectural guidance to us and our clients.

Lead Data Architect will be responsible for 3 main areas:

1. Presales and Business Development. Serve as a technical expert in presales activities. Build strong relationships with potential clients.
2. Technical Leadership and Team Management. Provide technical guidance and mentorship to the data science and engineering teams. Adopt a culture of innovation and excellence. Oversee the day-to-day operations of the teams, ensuring projects technical excellence.
3. Product Vision and Development. Define the product roadmap for our enterprise data platform. Lead the development team in building a scalable and robust solution.

Requirements

• We are searching for a mature Solutions Architect or similar leadership role with a minimum of 12+ years of experience in the data science/data engineering industry.
• Strong understanding of major cloud ecosystems (AWS, Azure, GCP)

• Broad understanding of commercial and open-source ML/AI/Data tech providers stack. Deep experience with any subset of this stack.
• Proven track record of leading and mentoring high-performing technical teams.
• Excellent communication and presentation skills with the ability to engage both technical and non-technical audiences.
• Strategic thinker with a passion for innovation and a keen eye for identifying market opportunities.
• Expertise in data architecture, data modeling, and data warehousing
• Experience with data visualization and business intelligence tools
• Ability to lead and mentor teams

Will be a big plus:

• Advanced degree in computer science, statistics, or related field

• Recognized certifications in major data tech platforms

• Experience in building and scaling data platforms