• Responsible for developing mobile applications (SuperApp) on the iOS platform using AI agents, ensuring senior-level delivery of the tasks under their responsibility.

• Design, build, and maintain robust ETL/ELT processes to ingest, transform, and deliver data across a modern Data Lake architecture • Develop and optimize distributed data processing workflows using Python and PySpark to handle large-scale datasets efficiently • Implement and refine partitioning strategies for data lake storage frameworks (such as Delta Lake or Apache Iceberg) to balance query performance with storage costs • Write, optimize, and translate complex SQL queries involving CTEs, window functions, conditional expressions, and aggregations • Migrate and modernize data pipelines from legacy RDBMS platforms to cloud-native analytics environments • Leverage object-oriented programming principles to contribute to in-house libraries for code reusability and standardization • Work confidently with AWS-native services including Glue (Jobs, Catalog, Triggers, Workflows), Athena, Redshift, S3, Lambda, EventBridge, and related data services • Collaborate with infrastructure and DevOps teams to provision and manage data resources using Infrastructure as Code (IaC) tools such as CloudFormation, CDK, or Terraform • Monitor data pipeline health and performance using CloudWatch and other observability tools, proactively addressing issues and improving reliability • Ensure data integrity, consistency, and compliance across pipelines and storage layers • Implement metric tracking and observability frameworks to provide transparency into data workflows and SLAs • Support data catalog management and metadata governance practices • Partner with data analysts, scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions • Contribute to technical documentation, code reviews, and knowledge sharing within the team • Stay current with emerging data engineering practices, tools, and cloud-native innovations

• Own the strategy and outcomes for a portfolio spanning shared frameworks, developer tooling, and partner delivery; define what good looks like for each Squad and hold that bar • Make the rest of Product & Engineering measurably faster: drive adoption of shared frameworks and services, retire duplicated effort across Pods, and prove the multiplier effect with data • Stand up our Solutions Engineering Squad: accelerate the roadmap commitments that win and retain key accounts by building the agency bench, owning contracting and statement-of-work oversight alongside our commercial teams, and running the handoff protocol that turns contracted work into owned, maintained product • Modernize our Product Development Lifecycle through Engineering: pursue step changes in how we deliver software, leading the shift from AI-assisted to agentic development on your own Squads first and as a model for the rest of engineering • Run a disciplined intake: this Pod exists to multiply the organization, and you will protect its charter rather than let it become a catch-all for unowned work • Hire, develop, and retain engineering managers and senior individual contributors; own performance, succession, and engagement across the Pod • Partner with the VP of Engineering and CTO on vision, with our Platform Engineering Pod on the seam between infrastructure and application frameworks, and with our Design System team on the front-end foundation • Own the Pod's budget across tooling and agency spend, and be accountable for the throughput it buys

• Teach core engineering design and CAD skills • Help clients strengthen problem solving, technical skills, and research and development abilities • Guide clients through certification requirements, project management, and applying emerging tools like AI fundamentals and AI automation • Offer resume review and interview prep, along with networking strategy, salary negotiation, and support for freelancing opportunities • Set your own hours and rates and host sessions virtually