Solution Architect

Reposted 21 Days Ago
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Ottawa, ON, CAN
In-Office
Mid level
Software
The Role
This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.
Summary Generated by Built In

Who you are

You are a hands-on dynamic and personable individual with 2 to 4 years of software solution deployments with a containerized application. Ideally you will also have experience with various data sources (relational, file systems, NoSQL), Kafka and data inventory/data classification/data quality tools and or concepts. You want to grow your skills at an exciting, nimble, responsive company. You are ready to put in the effort and time to get to the next level. You are an adventurer and a team player. Whether it’s with your team, c-level executives or prospects, you can adapt to any situation.

What you will bring to the team and the company

  • An ideal combination of education and experience. You have a university or college degree. Your experience includes delivering solutions in the data management field including such areas as data inventory, data quality, data classification, data privacy and data compliance.
  • An appreciation for collaboration. You may be competitive in nature, but you have a deep appreciation for the team with whom you work. You are ready to be supported by, and in return, support the business of a dynamic development team.
  • A genuine and charismatic personality while being a keen problem solver. 
  • A strong desire to win. You want to be on the winning team and you are driven to do whatever it takes.

What you will be doing

You will be responsible for working with our clients on deployments and solutions with our technology. A high-growth software company that has developed a sensitive information intelligence platform that helps businesses to identify, inventory, categorize, track and trace sensitive data with the enterprise. We help companies know exactly what is in their data, no matter the source, the location, the type of data, or the scale. Our technology runs persistently within the business, constantly measuring data usage and placement against policies.  We then trigger remediation actions, lowering risk while delivering compliant, governed and correct data back to the business.

You will be part of our delivery team, reporting to the SVP of Client Success, with a goal of exceeding the expectations of each of our clients.

Responsibilities

- Responsible for the successful installation, configuration and deployment of Data Sentinel for each of our clients

- Will act in a pre-sales and/or consulting capacity for product solutioning

- Provide product feedback to our Development and Engineering teams to better our product and our clients experience

Skills Required

- Docker & Kubernetes deployments

- PostgreSQL database and SQL knowledge

- Experience with Kafka & Zookeeper

- A solid understanding of data management ideally with knowledge of data compliance and PII regulations

- SQL database integration (Microsoft, Oracle, Postgres, and/or MySQL, etc)

- Ideally have experience with SAS applications such as SAP or Salesforce

- Ideally have experience with file systems

Skills Required

  • Experience in software solution deployments with a containerized application
  • Knowledge of data management including data compliance and PII regulations
  • Proficiency with Docker and Kubernetes for deployments
  • PostgreSQL database and SQL knowledge
  • Experience with Kafka and Zookeeper
  • Experience with SQL database integration (Microsoft, Oracle, MySQL, etc.)
  • Experience with SAS applications such as SAP or Salesforce
  • Experience with file systems
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The Company
HQ: Nelson
39 Employees
Year Founded: 2019

What We Do

Data Sentinel is a data trust and compliance platform that helps businesses continuously manage their data privacy compliance, governance, and quality in real time. Data Sentinel’s proprietary deep learning discovery technology illuminates the true nature of an organization’s data across all sources and systems, monitoring, measuring, and remediating the data to ensure compliance with company policies and evolving data management privacy regulations.

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