Shape the architecture and technical roadmap for Data Governance and Trust across engineering, product, domain, and governance stakeholders.
Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation.
Design and build services, integrations, APIs, and automation connecting metadata, ownership, classification, lineage, quality signals, and policy information.
Establish reusable governance and trust patterns for data publishing, discovery, access, consumption, change, and retirement.
Remain hands-on through prototypes, production code, design reviews, and resolution of complex technical problems.
Represent the group in architecture discussions, planning forums, domain engagements, and leadership reviews.
Facilitate cross-functional discussions, resolve competing priorities, document decisions, and secure clear ownership and commitments.
Translate governance, security, and privacy requirements into implementable controls and traceable operational evidence.
Help teams define data contracts, quality expectations, ownership responsibilities, lifecycle practices, and remediation workflows.
Develop supported interfaces that expose business meaning, provenance, quality status, and permitted-use information to applications and AI systems.
Mentor engineers and raise standards for reliability, maintainability, testing, observability, documentation, and technical leadership.
Requirements
Track record of designing, building, and operating production software or data platforms with impact across multiple teams.
Deep practical knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or related platform domains.
Hands-on experience building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems.
Understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics.
Experience across warehouse, lakehouse, streaming, and data transformation environments.
Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code.
Ability to translate ambiguous business or policy requirements into clear technical designs and delivered outcomes.
Proven ability to lead initiatives across teams without direct reporting authority and navigate difficult technical or organizational conversations.
Strong written and verbal communication, including architecture proposals, decision documents, and presentations for varied audiences.
Commitment to mentoring engineers and improving team effectiveness.
Valuable software engineering skills in Python, Java, or Go, plus practical SQL experience.
Valuable experience with distributed systems, APIs, integrations, cloud data infrastructure, operational evidence, governed data or context services, and platform adoption or migration.
Experience representing technical work through internal forums, technical writing, communities of practice, or external presentations is valuable.
Benefits
Top-tier benefits package including medical, dental, vision, matching 401(k), paid time off, wellness program, and Sony product discounts.
May be eligible for a bonus package.
Hybrid working policy applies, and base pay may vary based on location and job-related factors.
Background checks are conducted at the offer stage for new employees.
Salary: $216k - $324k/yr
PlayStation Global
At PlayStation Global, we focus on creating user-friendly solutions that simplify processes, improve efficiency, and empower teams to succeed.