--- title: 'Senior Solutions Consultant - Open Data Platform at Acceldata' canonical: 'https://feeny.ai/job/senior-solutions-consultant-open-data-platform-acceldata-california-q7bdbf2fnabr' type: 'job' last_seen: '2026-09-10' --- # Senior Solutions Consultant - Open Data Platform at Acceldata - **Company:** Acceldata - **Location:** California - **Compensation:** $140k–$160k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-20 - **Last confirmed live:** 2026-09-10 - **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 Hadoop knowledge and strong enterprise presence. You'll be the principal technical owner of ODP deployments - responsible not just for standing up the platform, but for guiding a customer's infrastructure, security and database teams to the right architectural decisions, and for making those decisions stick in environments where security and change control are non-negotiable. This is a hands-on role with a consultative position. You'll be equal parts architect, engineer and trusted advisor: designing the target-state cluster, executing the build, and translating hard technical trade-offs into terms a customer's stakeholders can act on. You are the person the customer relies on to get a secure, scalable platform right the first time. Product Link: https://www.acceldata.io/open-data-platform What we look for: - Own cluster architecture and deployment. Lead end-to-end deployment of Acceldata ODP managed via Apache Ambari. Define cluster topology - master, slave and client node placement - sized to the customer's workload and infrastructure. - Prepare and harden infrastructure. Advise on and execute OS-level prerequisites on RHEL or Ubuntu: password-less SSH, DNS/NTP, firewall (iptables) rules, SELinux and PackageKit handling, and system tuning such as umask and open file descriptors. - Deliver secure and air-gapped deployments. Design and implement installations inside firewalled and air-gapped data centres using local mirror repositories or trusted HTTP proxy servers, working within the customer's change-control and compliance constraints. - Integrate backend databases. Provision and configure operational databases (Oracle, PostgreSQL, or MySQL/MariaDB), including schemas, users and JDBC drivers for core services - Ambari, Hive, Spark, Ranger and Schema Registry. - Extend the ecosystem via mpacks. Install, configure and troubleshoot components through Ambari Management Packs - Spark, Kafka, Flink, NiFi, Ozone, Airflow, Trino, ClickHouse, JupyterHub and MLflow. - Implement enterprise security. Stand up cluster security end-to-end: Kerberos integration, Apache Ranger authorization policies, SSL/TLS certificate management, LDAP/AD integration, and secure credential handling (e.g. obfuscating LDAP bind passwords via the Ambari Credential Store / JCEKS). - Advise and enable the customer. Run working sessions with the customer's infrastructure, security and DBA teams; document target-state architecture and handover runbooks; and coordinate with Acceldata engineering and account teams to unblock issues and drive long-term adoption. - 8+ years of experience in customer-facing product implementation, designing and deploying performant end-to-end data architectures, and solving complex migrations and deployments. - Comfortable writing code in either Java, Python or Scala. - Consult on design and architecture; implement strategic customer projects that lead to customers' successful understanding, evaluation, and adoption of Acceldata Data Observability Cloud. - Good understanding of Data management concepts like Data Quality, Data Catalog and Data Governance. Must-Have Qualifications - Deep architectural knowledge of the Apache Hadoop ecosystem (HDFS, YARN, MapReduce, Hive, ZooKeeper). - Strong Linux system administration on RHEL and/or Ubuntu, with a real command of network configuration, firewall rules and system tuning. - Practical experience with enterprise security: Kerberos (KDC), SSL/TLS, LDAP/AD and Apache Ranger. - Comfort operating within the platform's runtime stack (Java and Python) for configuration and troubleshooting. - 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. Strongly Preferred (Great Foundation) - Extensive experience managing Cloudera (CDH/CDP) or Hortonworks (HDP) distributions - this maps to an excellent foundation for the role. - Familiarity with several of the mpack components above (Spark, Kafka, NiFi, Trino, Ozone, MLflow, etc.) rather than all. - Experience delivering into regulated, secured or air-gapped environments. - Strong desire to tackle hard technical problems in Kubernetes; proven ability to do so with little or no direct daily supervision. - 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. - Prior customer-facing / professional-services or consulting experience in enterprise environments. 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. 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