Posted 4 months ago
Senior Solutions Consultant, Data Observability and AI Platform
@ Acceldata
Kitchener, Ontario
Overview
Acceldata is hiring a Senior Solutions Consultant for data observability and AI platforms, owning end-to-end technical delivery of customer deployments across its xDP, ODP and ADOC products. The work combines hands-on architecture and deployment of distributed data platforms with troubleshooting, optimisation and advising customer infrastructure, security and database teams. The posting asks for 8+ years of customer-facing consulting experience and travel up to 50% of the time.
Pay:
$150,000–$180,000 a year
Responsibilities:
- Deploy and configure xDP, ODP and ADOC for customers
- Troubleshoot complex infrastructure and optimise workloads
- Design secure, scalable architectures with customer teams
- Translate technical trade-offs into recommendations for stakeholders
Requirements summary:
- 8+ years in customer-facing technical consulting or data platform implementation
- Hands-on experience with distributed data platforms and Kubernetes
- Programming in Python, Java or Scala, plus shell scripting
- Practical enterprise security experience: Kerberos, SSL/TLS, LDAP/AD, Apache Ranger
- Travel up to 50% of the time
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-07-20
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-29
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Customer service |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Travel | air: moderate |
| Work setting | Client sites, Office |
| Position | Sitting and standing |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Acceldata
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform. Acceldata's solutions have been embraced by global enterprises such as Nestle, Dun & Bradstreet, Hershey, Pubmatic, HCSC, PhonePe (Walmart), TPG Telecom (Australia), Jenius Bank, Merkle, Pubmatic, and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures.
- LinkedIn followers
- 80,192
- People associated on LinkedIn
- 289
- Reported office locations
- 2105 S Bascom Ave, Campbell, California 95008, US
- 18th Cross Road, HSR Layout, 3rd Sector, Vault No 1090/A, Bengaluru, Karnataka 560102, IN
- Business categories
- Infrastructure
- Artificial Intelligence
- Data Management
- Enterprise Software
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Other recorded names
- Acceldata
- Specialties
- Data observability
- Data reliability
- Data discovery
- Data pipeline monitoring
- Data quality monitoring
- Compute performance monitoring
- Data pipeline observability
- Data quality management
- Agentic Data Management
- Agentic AI
- Data Quality
- Hybrid Cloud
- Snowflake
- Databricks
- AWS
- Azure
- and Google Cloud
- Profile identifies a recruitment agency
- No
- Reported total investment
- 105,560,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 201-500 employees |
| Headquarters | Campbell, California |
| Organization type | Privately Held |
| Specialties | Data observabilityData reliabilityData discoveryData pipeline monitoringData quality monitoringCompute performance monitoringData pipeline observabilityData quality managementAgentic Data ManagementAgentic AI |
| Open jobs on Jobsy | 10 |
| View page |
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:
- 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
- ADOC (Acceldata Data Observability Cloud): a data observability platform that helps teams manage and secure their data across private systems and the cloud.
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
Must-Have Qualifications
- 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.
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