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Data Practice Leader

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About project

Provectus helps companies adopt AI to transform the ways they operate, compete, and drive value.
The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

The role of a Practice Leader is the most important for the company’s Data practice because it is not only about managing people but also requires things to be done.
A Practice Leader must have the sufficient technical experience to maintain and demonstrate the best market practices while keeping abreast of the latest technologies.


  • 5+ years of experience in Data Engineering, preferably with our main stack (AWS cloud, Streaming, and BigData).
  • Solid experience with tools like Apache Airflow, Apache Spark, Apache Kafka, etc.
  • Experience with DWH (Redshift), Lakehouse architecture (Redshift Spectrum), and Data Lake (Lake Formation).
  • Understanding of different DE architectures (e.g. Lambda vs Kappa architectures, Kimball vs Inmon models in DWH), and their Pros and Cons.- Practical experience working on ML/AI projects.
  • Experience in team/department leadership.
  • Relationship/team building. Leadership requires building and maintaining a solid and collaborative team of individuals working toward the same goal.
  • Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve their goals.
  • Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
  • Calmness. People are complicated, and it is required to be ready for any objectives or misunderstandings. 
  • Participation in open-source projects and/or public communities.

  • Nice to have:
  • Experience with CDC, Apache Hudi, and DeltaLake.
  • AWS certifications such as SA Professional or Data Analytics Specialty.
  • DataOps or MLOps knowledge would be a significant plus. 


  • Participate in AWS Partnership programs - AWS Immersion Day, AWS GameDay, Well-Architected Review, etc.
  • Train, mentor, and share knowledge and experience with the team on a continuous basis.
  • Implement tools that enhance data culture across many teams.- Research and introduce new, more effective data processing.
  • Improve the company's technical stack and expertise in the DE area. Work on those improvements with Managers, Data Maintainers, and CTO on a permanent basis.
  • Combine AWS Service into a solution with defined requirements.
  • Understand and be able to explain advanced data concepts (e.g. Data Catalog, Feature stores, etc.) to other DEs.
  • Understand data quality and be able to ensure it using the DataQA approach.
  • Contribute to Provectus open-source tools (ODD, Kafka UI, etc.) as an active member of the community.
  • Hire and onboard newcomers.- Conduct performance reviews, and 1-on-1 meetings.
  • Identify and address team gaps in knowledge.
  • Evaluate, improve and maintain processes.
  • Сollaborate with other managers across the company.
  • Communicate and follow the company's mission, vision, and values.

Briefly about us:

  • Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry analysts as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.

  • We are waiting for you to become a part of our team!

We are waiting for you to become a part of our team!