--- title: 'Director of Engineering at Hevo Data' canonical: 'https://feeny.ai/job/director-of-engineering-hevo-data-bengaluru-f8h8n35nt8fh' type: 'job' last_seen: '2026-10-12' --- # Director of Engineering at Hevo Data - **Company:** Hevo Data - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-30 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.lever.co/hevodata/96b31db5-3825-4a1b-868b-43ed969848d1 ## Job description ## 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 place. Without reliable, high-quality data, RAG breaks with stale or missing documents, agents hallucinate and take wrong actions, and copilots surface responses that can’t be trusted. Beyond powering AI with clean, trustworthy data, we’re actively embedding AI directly into the heart of our core product. For example, one of our core initiatives is around building agents that behave like developers - autonomously creating, testing, and validating new data connectors. Work with the Best Engineering Minds You'll be working alongside engineers who've built systems at scale before at companies like Flipkart, Amazon, Linkedin, Microsoft, Oracle and Razorpay. These are smart, kind, and hardworking colleagues who bring deep expertise in distributed systems and are passionate about solving complex technical problems. ## Why This Work Matters Unlike much of the work in large organizations, the problems that engineering solves at Hevo are deeply technical and core to the company’s mission. Your work is not an add-on. It is the foundation. Every design decision directly impacts data reliability for some of the fastest-growing companies in the world. Unique Advantage of Building at Hevo India There are very few companies in India that build true data infrastructure products at this scale. In most global companies, the most complex and challenging engineering work happens outside India, while local teams handle peripheral or execution-heavy roles. Hevo is different. Our entire engineering team is based in India. Every engineer works on the toughest problems, has full visibility into the product architecture, and contributes directly to the company's core technology. The learning and the impact are real and immediate. Who Should Not Join Hevo Hevo is not for everyone. We are solving deeply complex technical problems that demand rigor, creativity, and persistence. You may not be a fit if: ● You do not enjoy working on complex challenges or diving deep into the crux of a problem ● You are not passionate about building high-performance, high-quality, and scalable products used by thousands of large-scale customers ● You are looking for a settled role in a company that moves at a slow and steady pace. At Hevo, we move fast, but without breaking things Join Us We're at the perfect inflection point. We are at a scale where the technical challenges are massive but the team is still small enough that every engineer shapes the product's architecture and future. The data infrastructure market is exploding. AI is creating unprecedented demand for reliable, real-time data. And we're building the foundational technology that will power the next generation of AI-native companies. Qualification ● 15+ years of experience ● Bachelor’s degree in Computer Science or related field required; Master’s degree preferred ## About Hevo Data ## Company Overview - **One-liner**: Hevo Data provides an automated, no-code data pipeline platform that enables companies to ingest, transform, and load data from 150+ sources into any data warehouse or destination. - **Entity Type**: Private (Series B, raised $43M total) - **Headquarters**: San Francisco, California, United States (with major offices in Bengaluru and Pune, India) - **Founded**: 2017 - **Founders**: Manish Jethani (Co-Founder & CEO) ## Core Business - **Primary industry**: Data Infrastructure / ETL (Extract, Transform, Load) / Data Integration - **Target customers**: B2B – mid-market and enterprise companies that need to unify data from multiple SaaS, database, and file storage sources for analytics. - **Mission or purpose statement**: “Build Data Platform for Data-Driven People” – helping companies access, model, and consume petabytes of data in real-time. ## Products & Services - **[Hevo Data Platform](https://hevodata.com)**: A fully managed, no-code data pipeline service that supports 150+ pre-built connectors, real-time CDC (Change Data Capture), schema drift handling, and dbt-based transformations. Available as a SaaS platform. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Annual Revenue – **$46.9M** (2024, per Latka); conflicting estimate of $5M (LinkedIn, likely outdated). **Total Funding**: $43M across 4 rounds (Seed in 2017, Seed in 2019, Series A in 2020, Series B in 2021). - **Notable Investors/Partners**: Sequoia Capital India (led $30M Series B), with additional investors from earlier rounds. Recognized as a partner by Snowflake and Google Cloud. - **Growth Signals**: - Processes **1PB+ data monthly**; trusted by **2,000+ companies** worldwide. - Headcount: ~182 (LinkedIn, 2026) vs ~242 (Latka, 2026) – conflicting reports, but indicates a lean team. - Expanding into new geographies (San Francisco, Bengaluru, Pune, Singapore, Germany) and building new products. - Revenue grew from $31.2M (2023) to $46.9M (2024) per Latka. ## Competitive Advantages - **Zero-code, zero-maintenance**: Set up pipelines in minutes without engineering overhead; automatically handles schema drifts, API changes, and record failures. - **Scalability**: Handles massive data volumes (10x+ growth) without infrastructure changes, with high-throughput CDC replication. - **150+ pre-built connectors** and custom connector development service. - **End-to-end ELT** – combines extraction, loading, and dbt-based modeling in one platform with full pipeline observability. ## Strategic Focus - Continue building “Data Infrastructure as a Service” for hundreds of thousands of companies. - Invest in new product lines, geographic expansion, and open-source contributions. - CEO describes the company as “only 2% done,” emphasizing a long‑term growth trajectory. ## Why Work Here - **Culture**: Data‑driven, engineering‑heavy, with a “day one” mentality. Strong commitment to open‑source (engineers encouraged to open‑source components). - **Work policy**: Hybrid/office‑based – roles in San Francisco, Bengaluru, and Pune are listed as on‑site; some “Worldwide” remote options may exist but are not common. - **Notable perks**: Competitive salaries (e.g., Senior Software Engineer ~INR 4.1M/year), strong employer rating (4.1/5 on LinkedIn) with high marks for compensation (4.2) and career growth (4.1). - **Engineering culture**: Focus on low‑level data infrastructure, real‑time pipelines, and building scalable systems. Alumni have moved to top tech companies (Google, Confluent, Adobe, Fivetran). ## Sources 1. [hevodata.com](https://hevodata.com) 2. [jobs.lever.co/hevodata](https://jobs.lever.co/hevodata) 3. [linkedin.com/company/hevodata](https://www.linkedin.com/company/hevodata) 4. [getlatka.com/companies/hevo-data](https://getlatka.com/companies/hevo-data) ## Other roles at Hevo Data - [Head of Premier Technical Support](https://feeny.ai/job/head-of-premier-technical-support-hevo-data-pune-wbzhcbrerpbj) — Pune, India - [Head of Premier Technical Support](https://feeny.ai/job/head-of-premier-technical-support-hevo-data-bengaluru-db8rjn8mrqsq) — Bengaluru, India - [Senior Customer Experience Engineer](https://feeny.ai/job/senior-customer-experience-engineer-hevo-data-pune-fxfhv52xgpdg) — Pune, India - [Associate Customer Experience Engineer](https://feeny.ai/job/associate-customer-experience-engineer-hevo-data-pune-yxt5xjwzxcnc) — Pune, India - [Engineering Manager (Connect AI)](https://feeny.ai/job/engineering-manager-connect-ai-hevo-data-pune-vg7ycnq4526r) — Pune, India - [Tech Lead Manager - Autonomous Connectors](https://feeny.ai/job/tech-lead-manager-autonomous-connectors-hevo-data-pune-a9fkbq44rrz1) — Pune, India - [Associate Software Development Engineer (SDE)](https://feeny.ai/job/associate-software-development-engineer-sde-hevo-data-bengaluru-hma3rmz2pxtc) — Bengaluru, India - [Associate Technical Writer](https://feeny.ai/job/associate-technical-writer-hevo-data-bengaluru-j9s5h94srbj3) — Bengaluru, India - [Business System Engineer](https://feeny.ai/job/business-system-engineer-hevo-data-bengaluru-s0q49fkhkp2e) — Bengaluru, India - [Associate Director - Technical Account Management (Pune)](https://feeny.ai/job/associate-director-technical-account-management-pune-hevo-data-pune-5q6d38aqfgmg) — Pune, India