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Leap Tools
8+ YOECandidates need 8+ years of production software experience, including complex ETL or data-intensive pipelines and distributed systems. Strong performance engineering, architecture and mentoring skills are also required.
Python, Django, Kubernetes, PostgreSQL, AWS, OpenSearch
Dell
5+ YOECandidates need 5+ years in a customer-facing technical role, plus proven delivery of data, analytics or AI solutions. Hands-on experience with a major cloud platform and a leading data platform is required, along with strong communication skills for senior audiences.
Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse
GFL Environmental: GFL Environmental is the only major diversified environmental services company in North America offering services in solid waste management, liquid…
5+ YOECandidates need 5+ years of enterprise integration engineering, deep hands-on experience with Apache Kafka and AWS Glue, and skills in AWS services, Python, Java or Scala, and SQL/NoSQL databases. Confluent or AWS certifications are preferred.
Apache Kafka, AWS Glue, AWS Lambda, API Gateway, Git, Docker
Rockstar
Candidates need proven experience turning ambiguous business problems into actionable insights, hands-on SQL and Python in a professional setting, and experience building data pipelines and warehouses. Strong communication skills and familiarity with visualization tools such as Looker, Power BI or Tableau are also required.
SQL, Python, Airflow, dbt, PostgreSQL, Redshift
Aviso Wealth: As a trusted partner, Aviso Wealth provides credit unions with access to a comprehensive range of high-quality, innovative investing and wealth…
8+ YOE3+ MgmtCandidates need 8+ years in data governance or data management, including 3 years in a senior leadership role, and hands-on experience with governance platforms such as Collibra or Microsoft Purview. A bachelor's degree in a related field is required, and fluent English is required with French as an asset.
Collibra, Microsoft Purview, Informatica, Atlan, OneTrust, Power BI
Aplin
8+ YOECandidates need 8+ years in data architecture, at least 3 in a senior role, and a degree in computer science or a related field. Hands-on experience with Databricks, Delta Lake, Spark and Azure is required, along with strong communication skills for non-technical audiences.
Databricks, Delta Lake, Unity Catalog
Altis
Candidates need proven DevOps, cloud or data platform experience in Azure, plus hands-on Azure Databricks administration with Unity Catalog and strong Terraform skills. Scripting in Python, PowerShell, Bash and SQL, and strong communication skills in English are also required.
Azure Databricks, Terraform, Azure DevOps Pipelines, GitHub Actions, Jenkins, Azure Monitor
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of SaaS, cloud, AI or big data sales in the public sector, fluent French, and deep knowledge of Canadian government procurement and tendering. Experience with structured sales methods and multi-stakeholder deals is also required.
Sales, Databricks, Decision making, Procurement, Regulatory compliance, ML
Databricks: Databricks is the Data and AI company.
1+ YOECandidates need at least one year of closing sales experience, ideally in big data, cloud or SaaS sales. They must learn new technologies quickly and consistently meet or exceed sales targets.
Salesforce, Clari
Databricks: Databricks is the Data and AI company.
10+ YOECandidates need 10+ years of experience with HTML, CSS and JavaScript, plus 10+ years of server-side web development. They also need SQL, cloud and container experience, and experience building large-scale distributed systems.
Docker, Kubernetes
Databricks: Databricks is the Data and AI company.
8+ YOECandidates need 8+ years of software engineering experience, including running large-scale distributed systems in production. They need strong programming skills in Java, Scala, C++ or Go, cloud and container experience, and the ability to influence technical direction.
Docker, Kubernetes, AWS, Azure, GCP
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years in customer-facing pre-sales, architecture or consulting, with strong skills in big data, data warehousing or machine learning. They should be fluent in SQL and have coding experience in Python, Scala, Java or R.
Spark, Delta Lake, MLflow, Kafka, Hadoop
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of customer-facing pre-sales experience in financial services, with a record of leading large global accounts. They must be hands-on with big data, data science, cloud (Azure and AWS), and production programming in Python, R or Scala.
Databricks, Snowflake, Azure, AWS, Python, R
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years in a customer-facing pre-sales, architecture or consulting role, with expertise in big data, data warehousing, data science or data applications. Fluency in SQL and a debug or development skill in Python, Scala, Java or R are also required.
Databricks, Delta Lake, MLflow, Koalas, Hadoop
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of professional software engineering experience, including frontend and backend work. Strong skills in HTML, CSS, JavaScript/TypeScript and React, plus knowledge of UX, accessibility and responsive design, are expected.
React, TypeScript, Kubernetes
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of front-end experience with HTML, CSS and JavaScript, plus 5+ years of server-side development. Strong SQL, cloud and large-scale distributed systems experience is also required.
React, Angular, Docker, Kubernetes, AWS, Azure
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of software engineering experience, including large-scale distributed systems in production. They should know Java, Scala, C++ or Go, cloud and container tools, and have strong communication skills.
Docker, Kubernetes, AWS, Azure, GCP
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of enterprise technology sales with a record of exceeding quotas and a proven track record selling into Oil & Gas, Utilities or Mining in Western Canada. Strong knowledge of data solutions such as warehousing, BI, cloud, machine learning and GenAI is needed, along with a bachelor's degree or equivalent experience.
Salesforce
Databricks: Databricks is the Data and AI company.
7+ YOE3+ MgmtCandidates need 3+ years building and leading technical pre-sales teams and 7+ years in the data space with a technical product. They must be technical enough to earn engineers' trust and able to review complex architectures.
Databricks, Lead a team, Data analysis, Data engineering, Sales, Manage a team
Databricks: Databricks is the Data and AI company.
5+ YOE2+ MgmtCandidates need 2+ years managing teams that build and operate SaaS systems and 5+ years with distributed systems and platforms. They should have scaled engineering teams from 5 to 20+, hired and retained strong talent, and managed distributed teams. A BS or higher in Computer Science or a related field is required.
Databricks, Unity, SQL, Data visualization, Computer science, Adaptability
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years in a customer-facing role, proven delivery experience in data, analytics, ETL, machine learning or AI within SaaS, and experience building and leading technical post-sales teams. They must also be trusted advisors to technical executives.
Databricks
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of enterprise SaaS sales experience with consistent quota attainment on complex deals. Experience selling data platforms or operational databases to technical and business buyers is required, along with a bachelor's degree or equivalent experience.
Sales, Databricks, Negotiation, Operational databases, Leadership, MySQL
10 companies