• You contribute meaningfully to the success of one or more projects or products, helping drive positive outcomes. • You demonstrate proficiency and specialized skill in one or more key technologies relevant to the team’s goals. • You accurately scope, estimate, design, and deliver medium-to-large features while actively reducing technical debt across projects or products. • You proactively support and collaborate with team members, fostering a positive and productive team environment. • You adhere to established team processes, ensuring a steady and reliable delivery of features to production. • Cross-functional Collaboration: Work closely with teammates, external teams, and client stakeholders to ensure quality considerations are integrated at every stage of the SDLC. • Test Planning and Design: Develop comprehensive test plans, test cases, and relevant documentation that align with software specifications and user requirements to ensure thorough testing of features and functionalities. • Bug Tracking and Resolution: Utilize bug-tracking tools to document, prioritize, and track defects. Facilitate communication across teams to ensure timely and effective issue resolution. • Quality Metrics and Standards: Establish and enforce standards and best practices. Track metrics to assess the quality of the software throughout the SDLC. • Automate Testing Processes: Focus on increasing test coverage, speed, and accuracy to support continuous integration and deployment pipelines. • Continuous Improvement: Continuously evaluate and recommend new QA tools, frameworks, and techniques, driving innovation and staying up-to-date with industry trends and best practices • Compliance and Regulatory Adherence: Ensure testing procedures comply with industry standards and regulatory requirements, preparing documentation for audit purposes. • Performance and Security Testing: Implement and conduct performance and security testing following best practices and business requirements

• As the Staff Engineer/ Technical Lead for the Analytics Team, you will spearhead a team of engineers, providing the guidance and technical oversight necessary to ensure the successful delivery of all project milestones. • Architect and evolve scalable data pipelines using Python (PySpark) on Databricks. • Lead design and implementation of data ingestion, transformation, and orchestration frameworks. • Mentor and guide other data engineers through technical leadership and coaching. • Drive performance optimization, cost efficiency, and system reliability at scale. • Contribute to long-term data platform strategy and roadmap • Review designs and code, providing thoughtful feedback and raising the engineering bar • Research and build proof of concepts in the data space • Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices • Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement • Debug and resolve defects, proactively identifying and addressing potential issues before they impact users • Create and maintain comprehensive technical documentation • Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget • Continuously evaluate and recommend new dataframe related technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends • Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate • Assist in the implementation and maintenance of security, compliance, and governance policies within the Databricks and AWS environment to ensure adherence to industry standards and regulatory requirements.

• Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for services that power customer acquisition, onboarding/off-boarding, and revenue operations. • Drive Architectural Excellence: Define and evolve system architecture for high-throughput, fault-tolerant metering and billing pipelines; make principled tradeoffs across correctness, latency, cost, and operability. • Own Cross-Functional Execution: Partner with Finance, RevOps, and Sales to translate business needs into robust, scalable systems—anticipating edge cases, ensuring audit-ability, and aligning stakeholders on milestones and risks. • Contribute Deeply to Cloud Nexus: Design and scale primitives that enable multi-cloud connectivity across teams, domains, and regions; ensure strong isolation, clear abstractions, and predictable performance. • Ensure Data Integrity, Reliability, and Compliance: Build and operate distributed data systems with strong correctness guarantees; implement monitoring, alerting, dashboards, and runbooks that keep revenue-impacting pipelines trustworthy. • Raise the Engineering Bar: Set quality standards through code reviews, design reviews, and operational readiness; introduce patterns and tooling that improve maintainability and incident response. • Mentor and Multiply Impact: Mentor engineers, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. • Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load.

• Lead, mentor, and motivate a squad of 3–5 developers with varying levels of experience, setting technical direction and raising the overall engineering bar. • Own key features and architectural improvements end-to-end, from design and technical discovery through implementation, testing, and production support. • Make hands-on code contributions to critical services, pipelines, and frameworks, using modern, cloud-native patterns and technologies. • Build a solid understanding of the technology and architecture powering the Data Analytics Platform. • Partner closely with Product and Engineering to disambiguate requirements, surface technical uncertainty, and clearly communicate trade-offs and risks. • Coordinate with DevOps/CloudOps teams on behalf of your developers to make sure they have all the tools and support they require. • Champion engineering excellence by ensuring trunk/master remains green, stable, and deployable through strong CI/CD, testing, and operational practices. • Provide 24/7 production support for the systems your team manages, driving continuous improvement in this area through post-mortems and root cause analysis.