We are team Hitachi Pentaho, the innovative minds behind a suite of sophisticated software that accelerates data fitness within organizations to win with gen-AI.

 

Part of Hitachi Group, Pentaho provides mission critical success for the world’s data-fit companies. We’re people-centric, data-fluent and here to power good. We unlock data’s full potential so that together, we can take theme park fans on magical rides, conserve natural resources, and save lives. This is a world of dynamic data migration, trusted data discovery, reliable privacy and compliance, and unified data integration. We ensure companies are data-fit because data is mission critical. We do it all on a global scale. We do it through the power of acceleration.

 

Imagine the sheer breadth of talent it takes to power a data workhorse, like Pentaho, trusted by 73% of Fortune 100 companies. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

The Role

• Domain experience in verticals/industries, e.g. financial services, healthcare etc
• Drive revenue and progress the transaction as a technical advisor, technical consultant, solution architect to the transaction and to the customer
• Conduct solution sessions/workshops and demos with strategic accounts
• Consulting with prospective customers on their data challenges, objectives and required capabilities to meet the need
• Drafting, designing & developing technical reference architectures for prospective customers and use cases
• Leading technical design sessions, providing detailed product architecture overviews and determining the customer's design, integration, and development
• Consult with strategic account team
• Consult with Product Management and software leadership about current industry trends and technology needs

What you bring (Qualifications)

• 10+ Years Solution architecture expertise in DataOps (data management, analytics, data governance) use cases, technologies, and solutions
• Experience working with modern data management practices (e.g. ETL, governance, stewardship, master data management, data catalog, data lineage, data warehousing, data modelling, data lake, data vault, data mesh, analytics, dashboarding & reporting)
• Experience working with ETL/data integration/data catalog/data governance and data quality frameworks (e.g., Pentaho, Talend, Informatica, SSIS/ADF, Apache Airflow)
• Knowledge of BI and reporting applications (OBIEE, Business Objects, Cognos, Tableau, Qlik, MicroStrategy, Looker, Domo, PowerBI)
• Structured data/SQL engines (e.g., Postgres, MySQL, Oracle, SQL Server, Snowflake, Redshift)
• Knowledge of unstructured data indexing and NoSQL data engines (e.g. MongoDB, ArangoDB, SOLR, Cassandra, Spark)
• Container deployment and management (e.g., Docker, OpenShift, Kubernetes)
• Technical sales and revenue process experience
• Experience w/ design thinking and solutioning
• Identify emerging DataOps and AI challenges and solutions required to overccome
• Guide in the application of enterprise data and metadata management technologies