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Staff Data Engineer
Job Description
Cority is looking for an experienced Staff Data Engineer to lead the design, development, and optimization of our data infrastructure and analytics platforms. As a technical leader, you'll architect scalable data solutions, mentor engineering teams, and drive strategic decisions around our data technology stack. This role requires deep technical expertise combined with the ability to translate business needs into robust data systems that support analytics, machine learning, and operational workloads.
Key Responsibilities:
You will lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets. Leading cross-functional initiatives, you'll collaborate with product teams to enable data-driven decision-making across the organization. Your role includes establishing best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews. You'll evaluate and adopt emerging technologies, optimize performance and cost efficiency, and ensure our data infrastructure scales with business growth.
Required Qualifications:
We're looking for someone with 10+ years of software engineering experience, including 5+ years specifically in data engineering roles, with at least 2 years in a staff or principal capacity. You should have proven experience architecting and operating production data systems at scale, along with deep expertise in distributed systems, database internals, and data modeling. You must have demonstrable experience making significant architectural contributions to a large-scale data platform, with measurable business impact such as improved performance, reduced costs, enhanced data qualty, or enabled new capabilities. Strong programming skills in Python, C#, or Java are essential, as is experience with both SQL and NoSQL databases. You'll need excellent communication skills to work with both technical and non-technical stakeholders, and a track record of leading technical initiatives from conception through delivery.
Technical Qualifications:
Cloud Platforms & Infrastructure
Data Integration & Orchestration
Data Quality & Governance
Analytics & Business Intelligence
Programming
Nice to Have:
The ideal candidate will have hands-on experience with several technologies from each category rather than superficial knowledge of everything, along with the ability to evaluate and adopt new tools as the ecosystem evolves.