TL;DR

Senior Sales Engineer (Data Management): Engaging with prospects to understand their business and technical challenges and prepare compelling demonstrations of %hirify_global%'s value to prospects, as well as implementing technical proof-of-concepts. Focus on advising customers on their data integrity journey and influencing product design and positioning.

Location: Australia and nearby APAC countries. 20% travel is required.

Company

%hirify_global% empowers businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products, and strategic services.

What you will do

Collaborate with the Sales team and cross-functional groups in Delivery, Engineering, Marketing, and Product Management.
Lead business and technical discovery process to fully understand customers' business requirements.
Prepare and provide input for RFPs/RFQs.
Deliver compelling demonstrations for all data quality products, conduct PoCs, Assisted Trials, and other relevant presales activities.
Articulate the value of recommended solutions to customers across all levels (C-level to technical).
Work with partners to develop and support their go-to-market data quality proposition, training, and sales activities.

Requirements

Five or more years of presales experience in one or more data management disciplines (data governance, data quality, MDM, ETL, data migrations, BI reporting, cloud ecosystems, data lakes, big data, location intelligence, spatial analytics).
Strong domain expertise in modern cloud stack. at least one of the following: AWS, Databricks, Snowflake, containerization.
Excellent relationship-building, presentation, and communication skills, written and verbal in English.
Proven experience of effective support for closing deals with enterprise / multi-national corporations.
Passion for hands-on solving of challenging data topics and advising customers on their data integrity journey.
Knowledge of cloud platforms (Azure, AWS, GCP) and Linux/Windows knowledge.

Nice to have

Hands-on experience one or more of enterprise Data Quality, Data Governance, Location Intelligence, spatial analytics, data enrichment.
Experience from working in Hadoop/Spark or cloud ecosystem: Cloudera CDP, Databricks, Snowflake, GCP, Azure, AWS.
Hands-on experience with BI reporting tools: Tableau, Power BI, Qlik.

Culture & Benefits

Committed to career development for employees and offer opportunities for growth, learning, and building community.
Work from anywhere culture that celebrates diversity in a distributed environment.
Presence in 30 countries as well as 20 offices in over 5 continents.