Software Engineer - Data Platform

About our clientOur client is a Seed-stage AI company (recently closed a $25M round led by a tier-one VC) building autonomous growth agents for the $1T performance marketing industry. Founded in 2024 by veterans of major ad-platform and e-commerce companies, led by a CEO who was previously a VP of Engineering at a major consumer-tech company, they bring the growth technology of the largest platforms to every business. A fast-growing network of D2C brands and apps already relies on their agents, with SMB customers seeing a 40% lift and a waitlist growing by the day. The team is around 25 people, backed by tier-one investors, and well-funded with multiple years of runway.The roleAs a Software Engineer on the Data Platform, you will be a foundational member of the team, owning the data infrastructure that powers the company's autonomous AI agents. This is a true builder's seat: you will design the pipelines, models, and standards the entire product depends on.What you'll do• Own and evolve the data platform across batch and streaming pipelines, ensuring scalability, reliability, and performance.• Design and maintain robust ETL/ELT processes that integrate data from diverse sources, including major marketing and advertising platforms.• Define and standardize core data models, base tables, and schemas for consistency across analytics and ML applications.• Implement strong data governance, access control, and security practices to protect sensitive business and customer data.• Build and maintain real-time streaming infrastructure to power event-driven systems and business insights.• Partner with ML engineers, marketing ops, and product teams to guarantee data availability and quality.• Develop monitoring, alerting, and validation frameworks that keep data accurate and pipelines reliable.What we're looking for• 3 to 6 years of software engineering experience, ideally at a senior level, building data platforms and infrastructure (a software engineer who has worked on data, not a career data engineer).• Strong experience with batch and/or streaming pipelines using modern frameworks such as Spark, Beam, Flink, Kafka, or Pub/Sub.• Proficiency with SQL and hands-on experience designing data schemas for analytical and operational use.• Experience with data warehouses and lakes (BigQuery, Snowflake, Redshift, or similar) and strong programming skills in Python, Java, or Scala.• Solid understanding of data security, compliance, and governance, plus experience on a major cloud platform (GCP, AWS, or Azure).• A track record at a high-growth tech company or reputable VC-backed startup.Bonus points• Hands-on experience with real-time streaming and event-driven architectures.• Familiarity with workflow orchestration (Airflow) and distributed storage systems (Bigtable, HBase, Cassandra).• Experience building marketing data pipelines (GAQL, Ads APIs) or supporting ML feature stores.• Contributions to open-source data engineering projects.Compensation and benefits• Base salary of $160K to $225K, plus competitive equity.• Visa sponsorship available, including H1B transfers.Location and work model• On-site in Mountain View, CA, with hybrid flexibility for candidates based in San Francisco or with a longer commute.