---
title: 'Senior Engineering Manager at Acceldata'
canonical: 'https://feeny.ai/job/senior-engineering-manager-acceldata-bengaluru-9w0vxgyfrm0t'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Engineering Manager at Acceldata

- **Company:** Acceldata
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/acceldata/d3410611-78e7-4130-9d9b-b2f720863ae6

## Job description

Acceldata is reimagining the way companies observe their Data!

Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.

## About the Role

We are seeking an exceptional Senior Engineering Manager to lead an engineering team of 15-20 engineers. This is a techno-managerial role responsible for delivering high-quality software while ensuring the team is productive, engaged, and aligned with business goals. This role is responsible for managing a team that works on building the next generation of Acceldata's platform and products and owns the responsibility to ship the key features of the product on-time. As a Senior Engineering Manager, you will work closely with Engineering Leadership to build the product strategy, reviewing the product roadmaps, track the engineering progress and plan the releases. You will play a key role in hiring, coaching the team members, providing technical guidance and ensuring engineering excellence across the team.

## What You'll Do

Technical Leadership Guide architecture and design decisions. Review technical proposals and trade-offs. Establish engineering best practices. Ensure scalability, reliability, security, and maintainability. Partner with senior engineers and architects on technical strategy.

People Leadership Build a strong engineering team. Guide the team, resolve conflicts and remove blockers. Conduct performance reviews and career development discussions. Build a healthy and inclusive team culture.

Project & Delivery Management Own execution of engineering roadmaps. Ensure projects are delivered on time and with quality. Manage project planning, resource allocation, risk assessment, and dependency management across multiple initiatives. Balance technical debt with feature delivery. Drive engineering productivity and predictability.

Cross-Functional Collaboration Work closely with Product Managers on roadmap planning. Collaborate with Design, Customer Success, Sales, and Support teams. Align engineering efforts with business objectives. Communicate status, risks, and priorities to stakeholders.

Operational Excellence Define engineering processes and metrics. Improve CI/CD, testing, observability, and release management. Manage incident response and postmortems. Monitor team health and delivery metrics.

## What We're Looking For

14–18 years of hands-on software engineering experience with deep expertise in backend systems and platform engineering. 6+ years of experience in managing a high performance team of 20+ engineers Experience designing complex systems around data, applications, and enterprise-scale workloads. Strong programming expertise in Java, Scala, Golang, or similar backend technologies. Hands-on experience with distributed data processing and streaming technologies such as Apache Spark, Apache Flink, and Apache Kafka, along with NoSQL databases (e.g., Cassandra, MongoDB, HBase, DynamoDB). Strong experience working within the Big Data ecosystem, including technologies such as Hadoop, HDFS, Hive, YARN, Iceberg, Trino, and Airflow, is highly preferred. Expertise in project planning, resource allocation, risk assessment, and dependency management Strong stakeholder management, communication, and problem-solving skills. Ability to balance technical depth with people leadership and business priorities. Exceptional problem-solving, debugging, and analytical skills. Strong communication skills with the ability to engage effectively with engineering leaders, architects, product leaders, and executives.

## Preferred Qualifications

Experience with large-scale data platforms, analytics systems, or data infrastructure products. Experience building observability, monitoring, reliability, or platform engineering solutions.

Why Join Us? Build products that solve some of the most challenging problems in Data and AI Observability. Influence the architecture and technical direction of a category-defining platform. Work on large-scale distributed systems serving some of the world's largest enterprises. Collaborate with a world-class engineering team focused on innovation and technical excellence. Enjoy significant ownership, autonomy, and opportunities to shape the future of the company and its products.

We care for our team

- Mentorship & Growth
- ESOPs
- Medical and Life Insurance
- Paid Maternity & Parental Leave
- Corporate Uber Program
- Learning & Development Support

Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.

Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

## About Acceldata

## Company Overview
- **One-liner**: Acceldata provides an autonomous agentic data management platform that enables enterprises to observe, govern, and optimize complex data and AI workloads across hybrid cloud environments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Campbell, California, USA
- **Founded**: 2018
- **Founders**: Rohit Choudhary (CEO), Ashwin Rajeeva (CTO), Raghu Kandikonda (Co-Founder & VP Engineering)

## Core Business
- **Primary industry**: Data Observability, Agentic Data Management, AI Infrastructure
- **Target customers**: Large enterprises (B2B, Enterprise) – customers include Dun & Bradstreet, AT&T, Oracle, DBS
- **Mission statement**: Deliver the promise of data quality and reliability at exabyte scale, blending the best of on-premises and cloud worlds, and providing real-time AI monitoring with structured, unstructured, and streaming data inputs.

## Products & Services
- **Data & AI Observability**: End-to-end visibility into AI agents, Hadoop, data quality, pipelines, and platforms.
- **Agentic Data Management**: Autonomous detection, diagnosis, and resolution across the data estate.
- **Data Warehousing**: Modern data warehousing capabilities built on the xLake platform.
- **Data Platform Modernization**: Open-source foundation for Hadoop modernization across cloud, on-prem, and hybrid environments.
- **xLake Platform**: The unified, customer-controlled control plane that runs every Acceldata product. Federated compute planes execute workloads where data resides, with built-in governance, observability, and lineage.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total Funding – Series C round (amount undisclosed); over 1 trillion data and agent interactions daily; 200+ teams worldwide rely on Acceldata.
- **Notable Investors/Partners**: Insight Partners (lead investor); key customers include Dun & Bradstreet, AT&T, Oracle, DBS.
- **Growth Signals**: Headcount growth to 201–1000 employees; expansion into Canada (Kitchener) and UK (London); new product launches (xLake, Agentic Data Management); recognition as pioneer and leader in data observability category.

## Competitive Advantages
- First to coin the term “Data Observability” and pioneer the category.
- Unified xLake platform with a single control plane that works across hybrid cloud, on-prem, and edge.
- Patented technology in data processing and related fields; contributions to Apache Ambari and Apache Zeppelin.
- Deep expertise in complex data systems from founders’ experience at Hortonworks, Zalando, and Adobe.
- Agentic approach – autonomous detection and resolution reduces manual intervention.

## Strategic Focus
- Accelerating enterprise adoption of autonomous data management and AI agents.
- Expanding hybrid cloud capabilities so workloads run where data lives.
- Enhancing the agentic brain for orchestration, governance, and observability of AI agents and data pipelines.
- Growing the platform from a single product to a suite of products (Observability, Data Management, Warehousing, Modernization) that can be used individually or together.

## Why Work Here
- **Culture highlights**: Acceldata describes itself as a dynamic, innovative environment where creativity thrives, ideas flourish, and collaboration fuels breakthroughs. Values curiosity, diversity, and a shared commitment to excellence.
- **Remote/hybrid/office policy**: Multiple office locations (Campbell HQ, Bangalore, Kitchener, London). Job postings indicate on-site, hybrid, and full-time remote options depending on role.
- **Notable perks/engineering culture**: Deep technical roots in open-source (Apache projects) and big data systems. Opportunity to work on cutting-edge data observability and AI agent infrastructure at scale. Leadership team includes experienced executives from Hortonworks, Adobe, and other tech leaders. Series C funding provides stability and growth trajectory.

## Sources
1. [acceldata.io/about-us](https://www.acceldata.io/about-us)
2. [acceldata.io/careers](https://www.acceldata.io/careers)
3. [acceldata.io](https://www.acceldata.io/)
4. [jobs.lever.co/acceldata](https://jobs.lever.co/acceldata)
5. [jobs.insightpartners.com/companies/acceldata](https://jobs.insightpartners.com/companies/acceldata)

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