---
title: 'Named Core Account Executive at Databricks'
canonical: 'https://feeny.ai/job/named-core-account-executive-databricks-calgary-rp77fr8742tf'
type: 'job'
last_seen: '2026-09-05'
---

# Named Core Account Executive at Databricks

- **Company:** Databricks
- **Location:** Calgary, Canada / Vancouver, Canada
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-05
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8693555002

## Job description

SLSQ327R862

At Databricks, we practice what we preach: we are a fiercely data-driven company that utilizes metrics and insights to drive every aspect of our business.

As a Named Enterprise Account Executive, you will have complete oversight of your assigned accounts, serving as the ultimate owner of end-to-end customer relationships across Western Canada. This role requires deep domain expertise in the Energy, Mining, and Utilities sectors. We hold our sales organization to an exceptionally high standard; you should expect a culture centered on rigorous execution, where customer face-time, pipeline generation, and account activity are prioritized and measured closely.

The Impact You Will Have

- End-to-End Account Ownership: Act as the strategic quarterback and single point of accountability for your accounts, maintaining full oversight of the complete customer lifecycle and relationship ecosystem.
- High-Velocity Customer Engagement: Maintain an elite cadence of customer activity. You will be expected to maximize face-to-face client time and cultivate deep, long-term relationships with CIOs, CDOs, and business leaders (Supply Chain, Finance, Field Operations etc)
- Data-Driven Execution & Pipeline Growth: Grounded in our data-driven culture, you will aggressively drive weekly pipeline generation and accelerate use-case progression from POC to production.
- Account Growth & Strategy: Architect comprehensive account plans to systematically expand existing footprints using a disciplined, program-management approach.
- Sales Excellence: Consistently exceed activity, pipeline, and revenue targets by managing complex, multi-stakeholder sales cycles.
- Operational Precision: Maintain pristine CRM hygiene in Salesforce on a weekly basis, accurately forecasting and tracking use-case requirements, business value metrics, and timelines.

## What We Look For

- High-Intensity Enterprise Sales: 5+ years of experience consistently exceeding quotas in a fast-paced, high-velocity enterprise technology environment. You thrive in cultures that demand high activity, strict accountability, and frequent change.
- Domain Expertise: Proven track record selling into Western Canada’s premier Oil & Gas, Utilities, and Mining sectors, backed by an active local network of CIOs and decision-makers.
- Technical Acumen: Strong foundational knowledge of data solutions, including Data Warehousing, BI, Analytics, Cloud Infrastructure, Machine Learning, & GenAI.
- Complex Deal Management: Adept at balancing quick wins with long-cycle sales motions while effectively coordinating internal resources (solutions architects, executives, and partners).
- Education: Bachelor’s Degree or equivalent practical experience.

## About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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