ServiceNow Tech Lead

Responsibilities

• Tightly partners with the Product Manager of the pod to enable successful product delivery.
• Determines HOW the product will be built efficiently, securely, and scalably.
• Ledges architectural decisions, code quality, and engineering best practices.
• Owns technical delivery and quality.
• Supports technical team growth, removes technical blockers, and ensures engineering velocity.
• Includes but is not limited to: day-to-day technical execution with 'team/pod', team guidance in 'Breaking Down the Work', support in translating high-level requirements into technical tasks and stories, assessing complexity & effort, collaborating with engineers and technical resources from other teams, includes entire vendor domain: back-end infrastructure/MDM/data pipelines/etc, Service Now internal/external requirements, Dev-Ops requirements, cross-functional requirements (S4/Adams/SSO/etc), oversees spike work, oversees proper technical documentation in Confluence, defines and enforces technical standards, best practices, arch guidelines, designs and defines Vendor Enterprise Architecture (end-to-end) in partnership with the Data & Solutions Architect(s), close partnership with Dev-Ops to ensure work is scoped and meets requirements.
• Picks-up work/stories/tasks (50% of time hands-on-keyboard).
• Scalability, Security, and Performance - Technical Roadmap: Mitigating technical debt, identifying and mitigating technical risks or bottlenecks in development, defect triaging and troubleshooting critical issues and guiding resolution, performing code reviews, UAT testing plans, ensuring robust testing, driving continuous integration best practices, supporting team growth and support, identifying and surfacing gaps in resources (expertise and quantity).

Qualifications

• Bachelor’s degree required.
• 5+ years of experience in cloud architecture, data engineering, or solution development in AWS environments.
• 2+ years in a technical leadership role, overseeing architecture decisions and mentoring developers.
• Expertise in core AWS services: S3, Lambda, Glue, Redshift, DynamoDB, API Gateway, Step Functions, Aurora.
• Proficient in Python for scripting, automation, and ETL development.
• Familiarity with microservices architecture, API design, and serverless computing models.
• Solid understanding of DevOps practices including CI/CD, observability, and infrastructure automation.
• Experience managing delivery using Agile, Scrum, or SAFe methodologies.

Nice-to-Have / Preferred Skills

• Exposure to Master Data Management (MDM) platforms such as Informatica, Reltio, or Stibo.
• AWS certifications (e.g., Solutions Architect, DevOps Engineer, Data Analytics).
• Knowledge of modern data stack and Lakehouse architecture (e.g., Lake Formation, Athena, Snowflake).
• Familiarity with metadata management, data quality frameworks, and data governance.
• Understanding of data privacy and compliance (GDPR, CCPA).
• Integration experience with enterprise systems and tools like ServiceNow.