• 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.

Acceldata is the leader in enterprise data management, helping the world’s largest organizations build and operate enterprise grade data products. As we add products and grow the field, how quickly and how well our reps sell is one of the biggest levers we have. Today there is no dedicated sales enablement function. You’ll build it.

Done well, this role shows up directly in the numbers: reps ramp faster, sell more, and move deals through the pipeline quicker. If you like building enablement from the ground up and you want your work measured by what the field actually does, we’d like to meet you.

Own Onboarding & Ramp

• Directly run onboarding for every new Sales, Sales Engineering, Customer Success, Professional Services, Support and Partner hires through their first two to three months, and own their path to productivity.

• Build a ramp curriculum and certification that accelerates the time from new start to close of first new business sale, with clear milestones and a real measure of readiness.

• Get new hires fluent fast on our products, our market, our buyers, and how we win.

• Track ramp time and time-to-first-deal, and keep tightening the program against those numbers.

Run Ongoing Enablement & Coaching

• Build the recurring enablement cadence that keeps reps improving week over week: skills training, call coaching, role-plays, and certification.

• Roll out a sales methodology and the playbooks behind it, and make sure the field actually uses them constantly in live deals.

• Stand up the enablement tooling and content from scratch, including the platform, certification, and one place reps can find what they need.

• Work across the Revenue Operations team to connect enablement to conversion and sales-cycle time, and use what you learn to adjust the programs.

Drive Product & Go-to-Market Readiness

• Partner with Product and the Field CTO team so reps understand the value we deliver, can position our products and services, and can demo them well.

• Own field readiness for new product launches so the team can sell new offerings on day one and we get to market faster.

• Build demo certification and value-based selling skills together with the SE and Field CTO teams.

• Turn marketing’s product and positioning content into training reps can actually use in front of customers.

• 10+ years in sales enablement, or as a seller or sales engineer who moved into enablement, in a SaaS or enterprise software business.

• A track record of building onboarding and enablement programs that cut ramp time and improved win rates.

• Comfort building from scratch: you can stand up a function, not just run one that already exists.

• A strong grasp of enterprise sales: how complex deals are run, what good selling looks like, and the methodology behind it.

• A strong understanding of open-source software and foundations (such as the Apache ecosystem), containers and Kubernetes, SaaS, enterprise selling, and data management and infrastructure built on open source, with enough product fluency to build training that holds up with technical buyers.

• Hands-on experience building with AI: you use AI tools to create enablement content, programs, and workflows, and you can coach reps on putting AI to work in their day-to-day selling.

• Strong coaching and facilitation skills; reps respect you and get better because of you.

• Comfort working across Sales, Product, the Field CTO team, and Revenue Operations without formal authority.

• A habit of measuring your work and tying it to ramp, conversion, and sales-cycle outcomes.

• Clear communication and a sales-culture fit: you operate with pace, accountability, and a bias toward the field.

• Experience enabling teams on data, analytics, AI, or open-source enterprise products.

• Background carrying a quota or working as a sales engineer.

• Experience enabling partner or channel teams.

• Deep and practical experience in sales methodologies (e.g., MEDDICC, Challenger, Command of the Message).