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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Sales Engineering with a focus on Data Quality, Data Governance, and Master Data Management. Proficient in leveraging generative AI tools and SQL for technical solutions tailored to client needs.
Highest-signal resume keywords
Sales Engineering ExperienceData Quality ToolsGenerative AI ProficiencySQL and Data PipelinesTechnical Client Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales EngineeringData QualityData GovernanceMaster Data ManagementSQLPythonData PipelinesAPIsGenerative AI ToolsData Observability
Soft Skills
Problem-SolvingCreative Thinking
Tools & Technologies
DatabricksSnowflakeClaudeChatGPTCopilot
Industry Keywords
Data MeshData ContractsData CatalogData LineageAI Ecosystem
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Oversee and execute all sales engineering activities throughout the deal lifecycle, from initial engagement to deal closure
- Develop presentations and configure demonstrations tailored to each prospect's industry and unique needs
- Lead and execute Proof of Concepts (POCs), demonstrating the platform’s effectiveness and customizing it to technical requirements
- Lead in-depth technical discussions with clients, aligning Ataccama’s solutions with their needs
- Position Ataccama ONE as the data trust layer of the modern AI stack
- Use generative AI tools for account research, demo data and scenario building, RFP/RFI responses, and POC scripting; share effective practices with the wider SE team
- Maintain expertise in relevant technologies, competitors, business cases, industries, and the AI and agent ecosystem
- Work closely with Account Executives to provide technical insights and support for a cohesive sales strategy
- Pursue continuous learning and stay current with industry trends and Ataccama product advancements
Requirements
What you’ll need- 5+ years experience in a client-facing technical role (Sales Engineering, Solutions Consulting, etc.)
- Experience working with Data Quality, Data Governance or Master Data Management tools
- Working knowledge of data observability, data catalog and lineage, and data product / data marketplace concepts (e.g. data mesh, data contracts)
- Proficient in using generative AI tools (e.g. Claude, ChatGPT, Copilot) in daily work, with hands-on familiarity with LLMs, AI agents, and the Model Context Protocol (MCP)
- Proficient in SQL, data pipelines, Databricks/Snowflake, APIs, and preferably programming experience ideally in Python
- Proven success working with large enterprises with complex technical environments
- Experience leveraging Python for AI/ML prototyping or data science tasks is a strong plus
- Strong problem-solving and creative thinking skills
Benefits
Comp & perks- Long-Term Incentive Program
- Get paid vacation plus the freedom of Flexible Time Off (FTO)-a policy that lets you take additional time off when needed, supporting your work-life balance and well-being
- 5 sick days
- The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
- Health, vision, and dental benefits
- "Bring Your Friend" referral program
- Flexible working hours & hybrid work setup
- Annual package for mental health support
- RRSP plan available
- Corporate discounts on travel, fitness, attractions, and shopping
- Online courses & company access to Udemy to hone your skills
- Kitchen stocked with fresh fruit and juice, teas, and the best coffee
