--- title: 'Senior Solutions Consultant - ADOC (Acceldata Data Observability Cloud) at Acceldata' canonical: 'https://feeny.ai/job/senior-solutions-consultant-adoc-acceldata-data-observability-cloud-acceldata-q7bdbf2fnabr' type: 'job' last_seen: '2026-10-29' --- # Senior Solutions Consultant - ADOC (Acceldata Data Observability Cloud) at Acceldata - **Company:** Acceldata - **Location:** California - **Compensation:** $140k–$160k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-20 - **Last confirmed live:** 2026-10-29 - **Apply:** https://jobs.lever.co/acceldata/1d0ccbc3-01c5-4139-a673-0638ad4b8645 ## Job description ## About the role We are looking for a Senior Solutions Consultant with deep expertise in distributed data processing, enterprise data platforms and infrastructure architecture. You will take end-to-end technical ownership of customer deployments across three Acceldata products: ADOC (Acceldata Data Observability Cloud): a data observability platform that helps teams manage and secure their data across private systems and the cloud. xDP (xLake): a vendor-neutral, hybrid-native data platform built for petabyte-scale workloads across cloud and on-premises environments ODP (Open Data Platform): Acceldata’s Hadoop-based platform, managed via Apache Ambari Beyond deploying and configuring the platforms, you will work closely with customers’ infrastructure, security and database teams to design secure, scalable architectures, guide technical decisions and make sure production implementations succeed in complex enterprise environments. This is a hands-on, customer-facing role that combines solution architecture, engineering and technical consulting. You will design and deploy distributed data platforms, troubleshoot complex infrastructure problems, optimise workloads, and turn technical trade-offs into clear recommendations for customer stakeholders. You will be the trusted technical advisor customers rely on, from initial design through production readiness. What we look for: - 8+ years in customer-facing technical consulting, enterprise product implementation, data platform architecture and complex migrations - Hands-on implementation experience with distributed data platforms, hybrid infrastructure and data observability tools, and the ability to deliver customer deployments independently across ODP, xDP and ADOC - Good understanding of data observability, data quality, pipeline monitoring, data reliability, metadata management and data governance - Kubernetes experience, with the ability to solve hard problems with little daily supervision - Hands-on programming in Python, Java or Scala, plus shell scripting and Practical experience with enterprise security: Kerberos, SSL/TLS, LDAP/AD and Apache Ranger. - Excellent communication skills: able to explain hard trade-offs to engineers and senior stakeholders, and to drive complex work with little supervision Strongly Preferred (Great Foundation) - Prior FDE, professional-services or consulting experience in enterprise settings. - Familiarity with several of Spark, Kafka, NiFi, Trino, Ozone and MLflow, rather than all - Experience delivering into regulated, secured or air-gapped environments. - Ability to quickly learn new technologies and willingness to support working in different time zones, and may be required to travel up to 50% of the time to meet with customers. - experience managing Cloudera (CDH/CDP) or Hortonworks (HDP) distributions - this maps to an excellent foundation for the role. - Excellent communication skills - able to explain hard technical trade-offs clearly to both engineers and senior stakeholders - and the autonomy to drive complex work with little supervision. You'll work on genuinely hard problems for some of the most demanding data organisations in the world, with the autonomy to own an engagement end-to-end and the visibility that comes with being the customer's principal technical partner. If you enjoy the moment a complex, secured cluster comes up clean, and the customer's team trusts what you've built - this is that job. Acceldata has been named to Forbes' America's Best Startup Employers for two consecutive years, recognised on CRN's Big Data 100 for data observability and DataOps, and named a Leader in Everest Group's Data Observability PEAK Matrix. Above all, Acceldata has a people-first culture; you get full ownership of real, high-impact problems from day one. ## 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) ## Other roles at Acceldata - [Manager, Global Practice and Delivery (Solutions & Services)](https://feeny.ai/job/manager-global-practice-and-delivery-solutions-services-acceldata-kitchener-258bmwrt646v) — Kitchener, Canada - [Senior SDET - Open Data Platform (ODP)](https://feeny.ai/job/senior-sdet-open-data-platform-odp-acceldata-bengaluru-vy7wy0n0019b) — Bengaluru, India - [Staff Product Support Engineer - Cloud Support](https://feeny.ai/job/staff-product-support-engineer-cloud-support-acceldata-bengaluru-75s3sjnrkedy) — Bengaluru, India - [Software Engineer - Observability (Pulse)](https://feeny.ai/job/software-engineer-observability-pulse-acceldata-campbell-74pk7v8ht0hn) — Campbell, CA - [Senior Manager, Partner Marketing](https://feeny.ai/job/senior-manager-partner-marketing-acceldata-california-vc8crz29qkx0) — California - [Senior Engineering Manager](https://feeny.ai/job/senior-engineering-manager-acceldata-bengaluru-9w0vxgyfrm0t) — Bengaluru, India - [Senior Manager , Brand Management & Public Relations](https://feeny.ai/job/senior-manager-brand-management-public-relations-acceldata-california-52cnz4ngwn79) — California - [Senior Solutions Consultant, Data Observability and AI Platform](https://feeny.ai/job/senior-solutions-consultant-data-observability-and-ai-platform-acceldata-hkeh5eh1x752) — Kitchener, Canada - [Technology Alliances Manager - SaaS Alliances](https://feeny.ai/job/technology-alliances-manager-saas-alliances-acceldata-united-states-wzqwkefn4v1b) — United States - [Senior Solutions Consultant - xLake: Data & AI Platform](https://feeny.ai/job/senior-solutions-consultant-xlake-data-ai-platform-acceldata-greater-london-ja5b0k5gmw23) — Greater London, United Kingdom