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Tier-1 brand, metro location, and broad skillset increase candidate density moderately.
Highly domain-specific platform, cloud, and data governance skills limit cross-industry transferability.
Explicit 10+ years, principal-level title, and specialized platform and governance skills create strict filtering.
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Architect and deliver end-to-end core components for a distributed data platform supporting streaming, batch, and interactive workloads.
Drive and execute strategy for AI-enabled engineering automation across multiple teams to improve delivery speed, reliability, and code quality with governance and security.
Embed security, compliance, and reliability standards in services and operations while mentoring senior engineers and influencing engineering excellence.
10+ years of applied software engineering experience with formal training or certification.
Demonstrable ownership of cloud-native distributed systems or data platforms at scale.
Expertise in at least two domains among cloud platforms, data processing, distributed systems, security/governance, or DevOps/SRE.
Proficient coding skills in Java, Scala, Python, or Go; experience in large corporate environments.
Experienced technology leader skilled in architecting and scaling cloud-native distributed data platforms with operational ownership.
Strong expertise and strategic insight in agentic AI-enabled development automation with governance and risk controls in enterprise environments.
Able to operate at senior influence level across product, data, SRE, security teams driving technical standards and cross-team collaboration.