Senior Solutions Consultant - Open Data Platform
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 (open data platform) 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.
\n- 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 () rules, SELinux and PackageKit handling, and system tuning such as 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.
- 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.
- 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.
Senior Solutions Consultant - Open Data Platform
Sales Engineer - Hadoop Observability & Open Data Platform
Principal Engineer - Open Source Data Platform (ODP)
Software Engineer - Open Data Platform (ODP)
ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.
ABOUT THE ROLE
We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure.
WHY JOIN US
At Acceldata, you won’t just be writing code; you’ll be shaping the foundation of modern data platforms used by some of the world’s largest enterprises. You’ll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.
This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you’re looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.
\n- Design, develop, and maintain high-quality software for the Open Source Data Platform.
- Collaborate with cross-functional teams to define, design, and implement new features.
- Utilize mandatory Linux skills and expertise.
- Write clean, well-tested, and efficient code in Java, Python, or Scala.
- Participate in code reviews and contribute to architectural discussions.
- Debug and resolve technical issues, ensuring optimal performance and stability.
- Continuously learn and stay up-to-date with industry best practices and emerging technologies.
- Work across diverse environments: Bare Metals, VM, and Kubernetes.
- Mandatory proficiency in Linux to facilitate code deployment and execution.
- Familiarity with Kubernetes, Docker, and cloud environments is a plus.
- Extensive hands-on experience in programming with either Java or Scala and Python.
- Developed and prepared project build models associated with Maven, Gradle, or SBT.
- Experienced in Github & Nexus management and its use cases.
- Strong coding, debugging, and troubleshooting capabilities to resolve issues, enhance software applications, and ensure seamless deployment.
- In-depth understanding of fundamental software engineering concepts such as thread/process management, database management, virtualisation, and distributed computing.
- Demonstrated expertise in prior projects and contributions, as detailed in the curriculum vitae or resume.
- Demonstrated fluency in English communication.
- Strong capacity for collaboration with internal teams, external contributors, and the broader open-source community.
- Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
PREFERRED SKILLS
- Contributed to Apache or open source projects
- Possess experience with Bigdata stacks or components and deployed applications.
- Developed in-house automation for platform management.
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be!
We also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer:
- PTO Plan with unlimited negative balance
- RRSP Plan
- Up to 100% employer-paid benefit options for health, dental, and vision coverage
- Supplemental Benefits
- Apple Air Mac Equipment
- Office gym access (includes workout equipment, basketball court, and showers)
- Becoming part of the team that coined the term “Data Observability”!
Senior Software Engineer - Open Data Platform (ODP)
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