8+ years of experience in Data Engineering, Data Warehousing, or related fieldsДосвід · Обов’язково
Experience leading and mentoring Data Engineering teams, including 2+ years of people management experienceДосвід · Обов’язково
Hands-on experience with technologies such as Snowflake, dbt, Fivetran, PostgreSQL/Azure SQL, Airflow, and PythonНавичка · Обов’язково
Experience with Azure data technologies, including Microsoft Fabric and/or Azure Data FactoryНавичка · Обов’язково
Strong understanding of relational and NoSQL databases, data modeling, and SQLНавичка · Обов’язково
Proven experience establishing and maintaining data governance, data quality, and engineering best practicesІнше · Обов’язково
Strong communication, leadership, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiencesІнше · Обов’язково
SoftServe is an equal opportunity employer.Інше · Обов’язково
Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.Інше · Обов’язково
Strong expertise in modern data architectures, data warehousing, and scalable data pipeline design, with Snowflake experience preferredНавичка · Буде плюсом
Experience within Healthcare or Human Services is a plusІнше · Буде плюсом
In this role, you will lead the development and evolution of scalable data platforms, combining technical leadership with hands-on Data Engineering expertise. You will work closely with engineering teams and business stakeholders to shape data solutions, ensure high standards of data quality and governance, and support reliable delivery of data initiatives across the organization.
Responsibilities
Lead and mentor Data Engineers, promoting collaboration, knowledge sharing, and engineering best practices
Contribute to the technical direction and roadmap of the data platform, aligning engineering initiatives with business objectives
Design and oversee implementation of scalable data pipelines, data warehouses, and data lake solutions
Collaborate with business and technical stakeholders to translate requirements into effective data solutions and delivery plans
Establish and maintain data governance, data quality, CI/CD, and documentation practices
Support the reliability, performance, scalability, and cost efficiency of data infrastructure
Guide technical design and implementation activities across complex Data Engineering initiatives
Evaluate emerging Data Engineering technologies and contribute to continuous platform and engineering improvements
Requirements
8+ years of experience in Data Engineering, Data Warehousing, or related fields
Experience leading and mentoring Data Engineering teams, including 2+ years of people management experience
Strong expertise in modern data architectures, data warehousing, and scalable data pipeline design, with Snowflake experience preferred
Hands-on experience with technologies such as Snowflake, dbt, Fivetran, PostgreSQL/Azure SQL, Airflow, and Python
Experience with Azure data technologies, including Microsoft Fabric and/or Azure Data Factory
Strong understanding of relational and NoSQL databases, data modeling, and SQL
Proven experience establishing and maintaining data governance, data quality, and engineering best practices
Strong communication, leadership, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences
Experience within Healthcare or Human Services is a plus
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.