
Chief Data Architect
1 day ago
We are seeking a seasoned data expert to design and deploy cutting-edge data platforms, leveraging innovative technologies to drive business growth.
- Design and implement scalable data infrastructure: architect and oversee the deployment of reliable and secure data systems for large organizations.
- Drive innovation and adoption of new technologies: research and integrate advanced tools and frameworks for data ingestion, processing, and governance.
- Mentor junior and mid-level data engineers: provide technical leadership, code reviews, and career development support.
- Collaborate with stakeholders across teams: align data engineering initiatives with business objectives and ensure cross-functional alignment.
- Establish and enforce data engineering best practices: define standards for pipeline architecture, data quality, security, and compliance across the organization.
- Present findings and recommendations to senior leadership: communicate technical concepts and business impacts to executives and decision-makers.
To succeed in this role, you will require:
- Expert-level proficiency in programming, automation, and orchestration: mastery of Python, and workflow orchestration tools.
- Deep understanding of data storage, processing, and governance: advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
- Proven ability to build and deploy scalable data systems: design and implement robust, production-grade data platforms on GCP.
- Experience with big data technologies: use Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.
- Strong security and compliance expertise: implement and enforce security controls, encryption, audit logging for data systems, and compliance standards or data systems.
- Excellent communication and presentation skills: articulate technical concepts and business value to diverse audiences.
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