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Principal Engineer - Data Platform

Data EngineerData EngineerFull TimeRemoteLeadTeam 10,001+Since 2004H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$221.2K - $387.1K / year

Seniority

Lead

Job Description

Principal Engineer - Data Platform

ServiceNow

Role Description As Principal Engineer for Data Platform Modernization, you will be the foundational architect for the GCS Data Warehouse and everything upstream of the query layer: - Design the GCS Data Warehouse, the modern lakehouse foundation (Trino, Iceberg, dbt, a modern catalog) that replaces the existing Cloudera-based platform. - Lead the one-year program to move GCS data off Cloudera (Impala, Hive, HDFS, Hive Metastore) so the organization can decommission it rather than renew. - Design one portable architecture that deploys independently into commercial and regulated environments. - Own the ingestion architecture: change data capture from primary source systems, transactional PostgreSQL databases, landed into Iceberg. - Own the streaming layer that carries changes, assessing Kafka and deciding whether to keep or replace it. - Define the data and schema translation approach: Hive and Impala schemas onto Iceberg tables. - Set the correctness bar: reconcile new outputs against the source platform as ground truth. - Design data governance and security on the lakehouse. - Help design the platform's operational model: SLOs, observability, runbooks, and on-call approach. - Establish engineering standards for reliability, determinism, observability, and production readiness. - Lead through influence, aligning engineers to the target architecture. - Navigate enterprise constraints, security, compliance, and approval processes. - Drive the responsible use of AI and ML tooling to accelerate migration, translation, and validation work. Qualifications - 15+ years of experience in software or data engineering. - Proven experience leading a large data platform migration or modernization off a legacy Hadoop or Cloudera stack. - Experience architecting for regulated or government cloud environments. - Deep expertise across the modern data stack (Trino/Presto, dbt, Apache Iceberg). - Hands-on experience designing streaming ingestion and change data capture. - Working knowledge of streaming platforms (Apache Kafka or comparable). - Proven track record as the lead architect or top technical authority for a platform. - Strong systems and backend engineering depth. - Demonstrated ability to operate at high velocity in greenfield environments. - Strong knowledge of data structures, algorithms, data modeling, design patterns, and performance optimization. - Full professional proficiency in English. Requirements - Experience leveraging or critically thinking about how to integrate AI into work processes. - Deep understanding of software quality principles including reliability, determinism, observability, security, and production readiness. - Ability to troubleshoot and reason about complex distributed systems. - Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems. Benefits - Base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation, and benefits. - Health plans, including flexible spending accounts. - 401(k) Plan with company match. - ESPP and matching donations. - Flexible time away plan and family leave programs.

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