About the Role
Lead the design and evolution of data architecture across the enterprise by setting technical direction, mentoring engineering teams, and integrating advanced data solutions at scale.
Responsibilities
- Define and maintain enterprise-wide data architecture standards and best practices.
- Drive adoption of scalable, secure, and efficient data platforms.
- Collaborate with cross-functional teams to align data strategies with business goals.
- Mentor engineers and architects to advance technical capabilities.
- Evaluate and integrate emerging data technologies and frameworks.
- Ensure data systems support compliance, privacy, and security requirements.
- Lead architectural reviews and provide technical oversight on critical projects.
- Translate complex business needs into robust data solutions.
- Promote reuse of data assets and reduce redundancy across platforms.
- Champion data governance and metadata management practices.
- Design high-performance data pipelines for batch and real-time processing.
- Support cloud migration initiatives involving data infrastructure.
- Optimize data storage and retrieval for cost and performance efficiency.
- Foster innovation through proof-of-concept development and technical experimentation.
- Present architectural roadmaps and technical decisions to stakeholders.
- Ensure solutions are resilient, observable, and maintainable.
- Work closely with product and platform teams to enable data-driven features.
- Establish patterns for data integration across heterogeneous sources.
- Guide selection of database technologies based on use case requirements.
- Lead incident resolution and performance tuning for critical data systems.
- Promote engineering excellence through code reviews and design critiques.
- Develop strategies for data lineage and auditability.
- Support disaster recovery and data availability planning.
- Influence long-term technology investments in data infrastructure.
- Serve as a technical authority in enterprise architecture forums.
Compensation
Competitive salary and comprehensive benefits package offered.
Work Arrangement
Hybrid work model with flexibility based on role and location.
Team
Part of a collaborative engineering and data team driving transformation across enterprise platforms.
Why This Role Matters
This role is central to transforming how data is structured, accessed, and governed across the organization. The engineer will shape foundational systems that power analytics, machine learning, and customer-facing applications.
What We Value
Technical depth, leadership through influence, commitment to inclusive collaboration, and a focus on sustainable innovation.
This position may offer visa sponsorship for qualified candidates.