Offer summary

Qualifications:

8+ years of data development experience, with at least 5+ years in a leadership role., Proven experience with cloud-based data solutions (AWS, Azure, GCP)., Expertise in SQL and programming languages like Python, Scala, or Java., Strong background in ETL/ELT pipeline design and BI tools (Power BI, Tableau)..

Key responsabilities:

Lead the design and implementation of scalable data architectures across industries.

Develop comprehensive data strategies for analytics and reporting.

Collaborate with stakeholders to translate data requirements into architecture solutions.

Define data standards and governance policies to ensure quality and compliance.

Job description

Viseven Group is a leading global B2B MarTech service provider, empowering Pharma and LifeScience companies since 2009. Our mission is to drive digital transformation and excellence, offering comprehensive end-to-end software and digital marketing services tailored to the pharmaceutical industry. The company's solutions, products, and services are actively used by the top 100 Pharma and Life Science companies.

At Viseven, our rapidly growing team boasts over 700 highly skilled professionals, including experts in development, design, business analysis, project management, delivery, sales, marketing, and customer success.

With a global footprint in more than 30 countries across the US, LATAM, Europe, and APAC, and physical offices in Ukraine, Poland, Estonia, India, and the US, we are well-positioned to serve our diverse clientele.

Join us and become part of a pioneering team dedicated to shaping the future of digital transformation in Pharma and Life Sciences across more than 50 countries around the globe.

Role description: as the Head of Data/Data Architect, you will collaborate with stakeholders at all levels, ensuring the alignment of data solutions with business goals and guiding a technical team through the execution of architectural strategies. This role also involves the development of proof-of-concepts, high-level architecture designs, and engagement with clients to articulate the vision and value of the proposed data architectures.

Responsibilities:

Lead the design and implementation of scalable, secure, and high-performing data architectures across diverse industries.

Develop and execute comprehensive data strategies to support analytics, business intelligence, and operational reporting.

Collaborate with business stakeholders, analysts, and technical teams to understand data requirements and translate them into architecture solutions.

Design conceptual, logical, and physical data models across various data domains.

Build and optimize modern data pipelines and ETL/ELT processes using tools like Apache Airflow, dbt, Fivetran, or Stitch.

Define and enforce data standards, governance policies, and data management practices to ensure consistency, quality, and compliance.

Evaluate and implement technologies such as data warehouses (Snowflake, BigQuery, Redshift), data lakes, and cloud storage solutions (AWS S3, Azure Storage).

Implement and maintain BI platforms, including Power BI, Tableau, or Looker, to enable self-service analytics and reporting.

Define and enforce data security and access controls to protect sensitive information and ensure adherence to data privacy regulations.

Collaborate with infrastructure and operations teams to ensure the scalability, reliability, and performance of data platforms.

Provide expert guidance on database design, performance tuning, and architectural best practices.

Stay current with emerging data technologies, including DataOps, data mesh, ML/AI integration, and modern cloud-native data solutions.

Document data architecture artifacts such as data flow diagrams, system integrations, and metadata repositories.

Required skills and experience:

8+ years of overall data development experience, with at least 5+ years in a Head of Data / Data Architect or similar technical leadership role.

Proven experience designing and implementing cloud-based data solutions using AWS, Azure, or GCP.

Expertise in SQL and at least one programming language such as Python (preferably), Scala, or Java.

Hands-on experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes.

Solid background in ETL/ELT pipeline design, orchestration (e.g., Airflow, dbt), and data integration.

Hands-on experience with BI tools (Power BI, Tableau, Looker).

Proficiency in data modeling tools and metadata management systems.

Deep understanding of data governance, data management, and data quality frameworks.

Experience managing and mentoring data teams (Data Engineers, Analysts, BI Specialists).

Excellent analytical and communication skills with the ability to engage both technical and business stakeholders.

English – Fluent/Advanced

Ukrainian – is a big plus

Will be a competitive advantage:

Experience in Machine Learning or Data Science.

Familiarity with ELT tools (Fivetran, Stitch, and dbt).

Knowledge of DataOps practices and data mesh architecture.

What we provide:

We know our team members are key to achieving our goals, so we value and empower them to share their vision. We reward this passion with exceptional benefits, including:

Competitive Compensation: Regular performance-based salary and career development reviews.

Experienced Team: Join a passionate, experienced team in a friendly atmosphere.

Career Growth: Opportunities for professional and career advancement.

Paid Time Off: 18 business days per year (20 business days after 2 years of service).

Sick Leave:

Non-documented: 4 business days per year.

Documented: 20 business days per year.

Family Leave: 3 paid business days for marriage, childbirth, or bereavement.

Medical Insurance: Comprehensive coverage.

English Courses: Learning opportunities to improve your language skills.

Professional Development: Participation in forums and conferences.

Corporate Events: Regular team-building activities and events.