Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
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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