Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Data Engineer at Ness Digital Engineering shaping data architecture for AI-driven opportunities. Leading innovation and collaboration across the organization to unlock data’s full potential.
Responsibilities
- Lead the Data Vision: 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.
- Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximise value.
- Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
- Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
- Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.
- Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
- Partner with security and compliance teams to build safe, accessible, and well-managed data environments that enable innovation.
- Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
- Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision.
- 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.
- Proven experience in financial industry.
- 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 operationalisation.
- Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
Benefits
- Impact that Matters: Your work will directly shape how we innovate, compete, and deliver value.
- Innovation Every Day: Collaborate with a team that embraces experimentation, new technologies, and continuous improvement.
- Inclusive Collaboration: Join a diverse, talented community that celebrates different perspectives and shared success.
- Growth & Opportunity: Access to professional development, cutting-edge projects, and the freedom to bring bold ideas to life.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.