Lead Platform Engineer at Capital One driving transformation in technology and solutions with Agile practices and DevOps tools. Collaborating on complex technical problems in a fast - paced environment.
GS
Hybrid Lead Data Platform Engineer
Posted last week
About the role
- Lead Data Platform Engineer overseeing design and operation of IoT data platform for Vizzia. Ensure reliable data access and governance while supporting internal teams and AI initiatives.
Responsibilities
- Design, build, and operate a unified data lakehouse (IoT, CRM, internal systems, product data, AI outputs) with a high level of reliability.
- Implement data quality, monitoring, observability, and lineage workflows, targeting less than 0.1% platform incidents.
- Deploy a self-service data infrastructure used by 80% of internal teams and reduce manual data requests by 50%.
- Optimize the platform to support 2,000+ IoT devices with a cost increase of less than 5% per device, while ensuring FinOps oversight.
- Design and maintain reliable datasets for the AI team, with automated monitoring of data freshness and drift.
- Work closely with AI, SaaS, BizOps, and Infrastructure teams to ensure consistency, performance, and continuous delivery.
- Provide technical guidance to more junior engineers and promote engineering best practices (code reviews, standards, CI/CD).
Requirements
- Excellent command of cloud data warehouses (Snowflake or equivalent)
- Strong expertise in ETL/ELT (Airbyte, Airflow, dbt) and AWS data stack (S3, Lambda, Glue, Athena, or equivalents)
- Advanced skills in data modeling (conceptual and logical), canonical schemas, and database optimization (time-series / IoT databases, relational/columnar stores)
- Solid experience in data reliability engineering: monitoring, alerting, incident management, SLOs/SLIs
- Strong understanding of GDPR requirements applied technically (PII, access controls, retention, auditability)
- Proficiency in software engineering: Python, advanced SQL, API design, CI/CD
- Proven experience in business data modeling and building shared “core” models across multiple domains (IoT, CRM, product, support)
- Hands-on experience with data governance: data dictionaries, data catalogs, data ownership, and implementing data contracts between teams
- Ability to facilitate workshops with non-technical stakeholders (field ops, support, product, sales) to understand processes, define key entities, and align KPI definitions
- Ability to collaborate with cross-functional teams and communicate technical decisions clearly.
Benefits
- Professional development opportunities
- Equipment allowances
- Flexible work hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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