Data Engineer designing and maintaining scalable data solutions on Databricks for clinical trials. Collaborating with teams to overcome data challenges and ensure the smooth logistics of clinical supplies.
About the role
- Data Architect playing a pivotal role in shaping enterprise data architecture at Ness Digital Engineering. Leading the delivery of scalable and trusted data solutions to empower data-driven decisions.
Responsibilities
- Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation.
- Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation.
- Design, deliver, and optimize data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
- Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
- Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
- Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.
Requirements
- Proven experience in data architecture or engineering leadership, delivering enterprise-scale solutions.
- Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift).
- Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems.
- Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar).
- Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices.
- Understanding of AI/ML data lifecycle management and operationalization.
- Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
Benefits
- Professional development
- Innovation Every Day
- Inclusive Collaboration
- Growth & Opportunity
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