Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
About the role
- Data Architect crafting and leading enterprise data platform strategy for digital transformation. Empower smarter decisions and innovation through trusted data architecture and governance.
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.
- Create Transformational Solutions: 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.
- Champion Governance & Trust: 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.
- Collaborate, Inspire, and Mentor: 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.
- 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.
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