Director of Engineering

About Hevo
Hevo is an automated unified data platform that helps organizations effortlessly move and sync data across 150+ sources to modern cloud data warehouses like Snowflake, BigQuery, and Redshift — all with no-code and real-time capabilities. We’re on a mission to empower teams to make faster, data-driven decisions by simplifying data integration at scale.

Key Responsibilities: Engineering Leadership & Strategy ● Define the long-term technical vision and engineering roadmap in alignment with Hevo’s product and business strategy. ● Build and scale engineering teams, fostering a high-performance culture rooted in ownership and innovation. ● Serve as a thought partner to the CXO, HoE and leadership team on product and platform evolution. Architecture & Technical Direction ● Lead architectural decisions for a large-scale, real-time data platform ensuring scalability, performance, and reliability. ● Drive modernization across ingestion, transformation, orchestration, and metadata systems. ● Evaluate emerging technologies and adopt those that advance the platform’s capabilities and efficiency. ● Champion technical excellence and establish best practices across the org. Delivery & Execution ● Oversee end-to-end product delivery, ensuring timely releases with high quality and customer impact. ● Build robust engineering processes (planning, reviews, incident management) to support rapid scaling. ● Partner closely with product management to align priorities and balance speed with long-term maintainability. ● Drive execution discipline while maintaining a bias for speed and innovation. People & Organizational Development ● Attract, develop, and retain top engineering talent across multiple domains. ● Build leadership capacity within engineering through mentorship and succession planning. AI-Native Engineering & Platform Intelligence ● Drive adoption of LLM-powered developer productivity tools to accelerate engineering throughput. ● Leverage AI to improve observability, incident triaging, and root cause analysis across distributed ingestion systems. ● Architect AI-assisted features for customers (e.g., automated connector mapping, transformation suggestions, query optimization). ● Establish responsible AI practices including governance, evaluation frameworks, and model performance monitoring. ● Identify opportunities to reduce operational overhead through automation and AI-driven decision systems. ● Embed AI/ML capabilities into the core platform (e.g., anomaly detection, pipeline health intelligence, intelligent retries, data quality insights).

: Why Consider Leading the Engineering at Hevo At Hevo, you will be leading the team working on one of the most technically challenging and impactful problems in modern data infrastructure: building a highly reliable, fault-tolerant data pipeline that powers decision-making for 2000+ enterprise companies across 40+ countries, including industry leaders like Shopify, DoorDash, Postman, and Zepto. The Core Challenge Companies today run on hundreds of business applications and databases. Each of these data sources evolves constantly. The structure of the data can change without warning, APIs behave unpredictably, and edge cases surface every day. Yet our customers rely on Hevo to unify all this data into their warehouses at internet scale. Scale & Technology The scale we operate at captures the magnitude of our engineering challenges ● 2000 companies across 40+ countries use Hevo. ● 150+ data sources with pre-built, battle-tested connectors ● 200GB/hour data transfer rate for each pipeline ● About 40k Pipelines ● 6 billion events processed per day ● 1PB+ data processed monthly Our tech stack is built for this scale: AWS Fargate, Apache Kafka, RocksDB, MySQL, MongoDB, Redis, InfluxDB, and Temporal, orchestrating multiple microservices across multi-tenant, auto-scaling infrastructure. AI at the Core, Not Just the Surface At Hevo, we build the infrastructure that makes AI possible in the first