Full-Time

Professional Services Consultant

Professional Services

Posted on 8/15/2025

Actian

Actian

501-1,000 employees

Offers data management and analytics platforms

No salary listed

Remote in Australia

Remote

Must be located in Australia.

Category
Consulting (1)
Required Skills
Talend
Microsoft Azure
MySQL
Git
SQL
Java
Tableau
AWS
Business Analytics
C/C++
Oracle
Google Cloud Platform
Excel/Numbers/Sheets
Requirements
  • Experience/Knowledge with Data Discovery and Data Catalog tools such as Zeenea, Collibra, Alation or others.
  • Knowledge of Integration tools, such as Informatica, Boomi, Talend, DataConnect, DataFlow or IBM Datastage/Tranformation Extender
  • Hands-on experience with at least one database server such as Ingres, Oracle Database, Microsoft SQL Server, MySQL or Informix.
  • Knowledge of Business Analytics applications (Tableau, PowerBI), support, and troubleshooting concepts
  • Knowledge of (but not limited to): Excel, XML, ODBC, ASCII, Java, COM, C, Visual SourceSafe/Git, CVS, REST
  • Proficient in the design and development of applications that use databases
  • Experience at designing and implementing solutions of various levels of complexity and integration with other products in a production environment.
  • Experience working with JSON, XML, EDI, and other data formats.
  • Experience with specific industry data formats (such as Health Care HIPAA, HL7, FHIR) a bonus
  • Knowledge of computer networking models, network configuration and diagnostics, and JDBC or .NET environments
  • Experience and knowledge of cloud services such as AWS, Azure, and Google Cloud
  • Good understanding of SQL queries and scripts
  • Knowledge of security systems, authentication, authorization, and access control systems in operating systems
  • Knowledge of multinational character sets and Unicode
  • Experience in production operations of database or IT related systems
  • Excellent written and oral communication and presentation skills
  • Must be able to satisfy Australian Government Security Vetting Agency requirements for baseline clearance if requested.
Responsibilities
  • Work on Design, Implementation, and Delivery of complex Data Governance, Data integration and, Data Management projects for Customers using the Actian portfolio of Data Governance, Integration, and Database Solutions.
  • Solve database, integration and analytics problems either alone or in a team. These problems are often related to production issues or outages, and a sense of urgency balanced with diligence is required.
  • Implement solutions to utilize Actian products to support customer needs and goals.
  • Follow and maintain support policies and procedures, processes, and best practices.
  • Work with customers and internal teams executing project planning and management processes, design, and design review efforts, and testing activities.
  • Install, configure, test, and troubleshoot computer software, hardware, or network systems or applications necessary to reproduce or analyze the customer’s environment or problems.
  • Maintain current skills related to the use of Actian products and standard industry tools, technologies, and best practices to use in everyday tasks.
  • Under guidance, create and deliver presentations for technical and non-technical audiences.
  • Identifying and capturing lessons learned, best practices, and information gained during the performance of tasks.
  • Create required documentation for activities such as client support, site visits, bug reports, reproducible test cases, and unit test plans.
Desired Qualifications
  • Experience with specific industry data formats (such as Health Care HIPAA, HL7, FHIR) a bonus
  • Strong desire to learn from others in the data management, integration and governance spaces, developing technical and business skills.

Actian provides data management and analytics tools that help organizations connect to data, analyze it quickly, and act on insights. Key products include Actian Avalanche, a fully managed hybrid-cloud data warehouse; Actian DataCloud for data integration; Actian X for operational analytics, integration, and monitoring; and specialized databases Vector for high-performance analytics and Zen for embedded/IoT use cases. These tools connect to multiple data sources, process data in real time, and let users run queries and dashboards to derive insights. Actian differentiates itself by offering both on-premises and cloud options within an integrated suite that covers ingestion, storage, analytics, and monitoring, enabling real-time insights across traditional databases and edge/IoT scenarios.

Company Size

501-1,000

Company Stage

Series E

Total Funding

$84.5M

Headquarters

Redwood City, California

Founded

2005

Simplify Jobs

Simplify's Take

What believers are saying

  • AI assistant integrations through MCP can expand enterprise adoption.
  • Data Steward Agent reduces manual metadata work and governance bottlenecks.
  • Conversational analytics can open seat growth beyond central data teams.

What critics are saying

  • Hyperscalers can bundle comparable catalog and governance features into existing contracts.
  • Crowded observability competition compresses Actian into a feature-level add-on.
  • Any inaccurate AI Analyst output damages its trust-based positioning quickly.

What makes Actian unique

  • Actian combines knowledge graphs, observability, and conversational analytics in one platform.
  • Its Data Intelligence Platform emphasizes governed, AI-ready data across hybrid environments.
  • Actian sells semantic-layer automation with traceable, rules-based answers for enterprise users.

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Benefits

Health Insurance

Parental Leave

Paid Vacation

Professional Development Budget

Conference Attendance Budget

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

-6%

1 year growth

-6%

2 year growth

-6%
Constellation Research
Mar 19th, 2026
Actian CEO Potter: AI driving a data governance renaissance.

Actian CEO Potter: AI driving a data governance renaissance. Published March 19, 2026 Actian CEO Marc Potter said AI is proving to be a wakeup call on data governance as companies realize it's a business imperative. "Everyone has been talking about governance, but it has been more at a policy level and no one was enforcing it," said Potter. "There was a disconnection between data governance and reality. Because of AI, there's a reality check that data is not as good as companies thought. Data quality is getting real." Potter's talk at Constellation Research's AI Forum 2026 came a few days after the company launched its Actian AI Analyst, which was the product of the company's acquisition of Wobby. Actian AI Analyst is designed to provide insights on analytics and data quality to reduce business intelligence bottlenecks. Actian has been built with a series of acquisitions and is now focusing on organic growth and innovation. He said Actian is working on a next-generation vector database. The Actian AI Analyst includes a conversational interface, a rules-based execution engine and full traceability. Actian also launched a new Steward Agent to accelerate AI deployment with semantic modeling, consistent business logic and proactive logic management. Potter said Actian AI Analyst is aimed at business users looking to have a conversation with data and get insights. "Business is where spend happens. A businessperson is going to want real-time insights and clean data," said Potter, who said data quality is what drives return on AI. When speaking with corporate AI leads, Potter's advice is to "understand your data." "The first thing you should do is really understand your data. It's blocking and tackling right now and everyone has jumped way over here and skipped all the steps they should have followed in the design phases," said Potter. "I would go back and really discover your data, tag your data, map your data, and once you understand that data, everything else is easier." Potter said Actian customers all have different levels of AI and data maturity. "What we hear from customers right now is that it's a battle of semantic layers. Every product has its own context within that product, and they're all trying to build their own intelligent layer around that context, but there needs to become one layer that gives best context for that organization," said Potter. Editor in Chief of Constellation Insights Constellation Research Larry Dignan is Editor in Chief of Constellation Insights at Constellation Research, where he leads editorial coverage focused on enterprise technology, digital transformation, and emerging trends shaping the future of business. He oversees research-driven news, analysis, interviews, and event coverage designed to help technology buyers and vendors navigate complex markets with clarity and context... Results. Insight News March 19, 2026 Agentic AI is going to revamp the customer's experience and interactions are going to look a lot different. Here's a look at how... Larry Dignan Insight News March 19, 2026 Data to Decisions Sandy Carter, Chief Business Officer of Unstoppable Domains, said quot;there are claws everywhere nowquot; and enterprises need to give OpenClaw and its various derivatives a spin... Larry Dignan Insight News March 19, 2026 Data to Decisions Alibaba Cloud posted third quarter revenue growth of 36% driven by AI demand. The company's traction with its Qwen family of models also remained strong... Larry Dignan Insight News March 18, 2026 Data to Decisions Nvidia CEO Jensen Huang held court with financial and industry analysts this week at Nvidia GTC 2026 and riffed on tokenomics, why he wished OpenAI and Anthropic were public compan... Larry Dignan Insight News March 18, 2026 Data to Decisions Snowflake said it is launching Project SnowWork, an autonomous enterprise AI platform that aims to automate work... Larry Dignan Insight News March 17, 2026 Future of Work Workday CEO Aneel Bhusri said agentic AI is more of a friend to enterprise software than a foe since it can expand the market. However, AI's displacement of human workers is going... Larry Dignan Published. March 19, 2026 Insight News December 22, 2025 Data to Decisions Actian, the data and AI division of HCLSoftware, is seeing strong demand for its metadata, data catalog and governance tools. Wobby will bring an agentic AI data analyst to Actian... Larry Dignan

PR Newswire
Mar 10th, 2026
Actian launches AI Analyst with semantic foundation to eliminate AI hallucinations in enterprise analytics

Actian, the data and AI division of HCLSoftware, has launched Actian AI Analyst, a conversational analytics solution designed to address AI hallucinations through a Semantic Knowledge Graph. The platform features the Steward Agent, which automatically generates and maintains the semantic layer to deliver auditable insights. The solution addresses accuracy issues in enterprise AI applications. Research shows some AI models achieve 97.8% accuracy on simple tasks but performance drops significantly with complex reasoning. Actian AI Analyst uses a rules-based approach to ground answers in company-specific logic, eliminating unconstrained SQL generation that causes hallucinations. The platform integrates with Slack and Microsoft Teams, allowing users to query data using natural language whilst maintaining full traceability of reasoning steps. It is available now and will be integrated across Actian's portfolio in coming quarters.

PR Newswire
Feb 24th, 2026
Actian launches Data Observability Agents to validate data for autonomous AI decisions

Actian, the data and AI division of HCLSoftware, has launched Data Observability Agents and a Model Context Protocol server to validate data for AI systems. The agents continuously monitor data at ingestion, detecting anomalies and explaining root causes whilst coordinating resolution autonomously. The technology addresses growing concerns around AI inaccuracy. Research shows 51% of enterprises using AI have encountered negative consequences, with nearly one-third caused by AI inaccuracy. The Data Observability Agents work across Apache Iceberg, Delta Lake and Hudi environments without requiring data movement. The MCP Server provides real-time quality signals to AI assistants, allowing automated validation before action. The Data Observability Agents are now available in public preview, whilst the MCP server is generally available.

InvestyWise
Feb 20th, 2026
HCLTech Completes Acquisition of AI Data Analyst Startup Wobby | InvestyWise

HCL Technologies has officially finalized the acquisition of Wobby BV, an Agentic AI software startup headquartered in Belgium.…

Actian
Oct 28th, 2025
Actian Launches MCP Server to Bring Governed, High-Quality Enterprise Data Directly into AI Assistants

Actian launches MCP Server to bring governed, high-quality enterprise data directly into AI assistants. Access to Knowledge Graph-Powered Data Catalog Accelerates Decisions With Accurate Semantic Search and Relationship Mapping for Better Context ROUND ROCK, TX, October 28, 2025 - Actian, the data and AI division of HCLSoftware, today announced the launch of the Actian Model Context Protocol (MCP) Server, a new capability of the Actian Data Intelligence Platform. The MCP Server enables enterprises to bring governed, high-quality data directly into artificial intelligence (AI) assistants built on large language models (LLMs) such as Claude and ChatGPT. By connecting its knowledge graph-powered data catalog to an AI assistant via an MCP Server, Actian transforms the catalog from a passive repository into an active, intelligent component of AI workflows. Capgemini research found that 93% of executives believe organizations successfully scaling AI agents will gain a competitive edge. To achieve this, organizations need infrastructure that lets AI agents work effectively with enterprise data. Yet a critical friction point remains as data professionals waste time toggling between AI assistants and separate data catalogs, introducing errors and slowing decisions through constant context switching. MCP is an open standard that enables secure connections between AI applications and external data sources. Unlike competitors, Actian combines the MCP Server with its knowledge graph-based data catalog. The server acts as an intelligent gateway that connects governed, high-quality data and metadata to AI agents, providing enhanced semantic understanding and data relationship mapping within agentic AI workflows. "The key to making AI assistants truly useful for data work isn't just connecting them to your data catalog - it's ensuring they understand the context, the data relationships and business meaning," said Emma McGrattan, CTO at Actian. "The Actian MCP Server's knowledge graph foundation enables this deeper understanding, so when users ask about revenue or customer insights, they get trustworthy results and complete data relationship maps, not just keyword matches." With the Actian MCP Server, users access business glossary definitions, perform semantic searches for related concepts, and discover complex data models, all while using natural language and without leaving their AI assistant. The knowledge graph foundation ensures these interactions deliver conceptually accurate results and complete relationship context. This accelerates insights, reduces errors, and improves decision confidence while eliminating productivity losses from tool-switching. The Actian MCP Server's initial release is built for fast adoption by focusing on two main capabilities: * Semantic Search: Uses AI-powered semantic search across business glossaries to find conceptually related terms based on meaning, not just keyword matches. For example, searching for "revenue" returns related terms such as "income," "sales," "gross profit," and "billing." * Get-Data-Model: Maps relationships between datasets by identifying foreign key references, helping users understand how data tables connect to each other with a complete view of data relationships. "Whether organizations are just experimenting with AI agents or expanding use across the enterprise, the gap between these conversational AI tools and enterprise data systems is a critical challenge," said Stewart Bond, Vice President of Data Intelligence and Integration Software at IDC. "Bringing trusted, governed data into AI assistants through standardized protocols like MCP is essential to build a foundation for successful AI implementations." Actian MCP Server Availability The Actian MCP Server is now available for existing Actian Data Intelligence Platform customers, with additional capabilities planned for future releases. For more information about these and other new features now available, review the "Actian Fall 2025 Product Launch: Make AI Work For You" blog. About Actian Actian empowers enterprises to confidently manage and govern data at scale. Actian data management and data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud and hybrid environments. Learn more about Actian, the data and AI division of HCLSoftware, at actian.com.

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