The Role
As a Solutions Engineer, you will collaborate with clients and team members to implement data audit and compliance solutions, assist with data engineering projects, and maintain strong relationships. You are expected to utilize skills in Linux, Docker, Postgres, and Python while ensuring effective communication and project management.
Summary Generated by Built In
About You:
- You are an engineering graduate (or computer science or related program)
- You have a lifelong passion for technology and science in all its forms
- You are obsessive about finding solutions - what other people see as problems, you see as puzzles or challenges and you don't like to give up on solving them
- You teach yourself skills quickly and use your self-acquired knowledge to synthesize new solutions in ways that surprise other people
- You have interpersonal skills that allow you to collaborate with different people and personalities and "get things done" even when it isn’t easy
- You are dependable, work quickly, think critically, and don't like to miss deadlines
- You have work experience and skills that match the diverse requirements of our “Solutions Engineer” position
Solutions Engineer - Key Responsibilities:
- Work with Data Sentinel clients and other team members to implement and support deployments of our data audit, data privacy, and data compliance solutions
- Assist with data engineering or data remediation projects as required to meet specific client data governance use cases within their specific environments
- Develop and maintain strong working relationships with clients and team members
- Build and maintain a superior skills with linux (Ubuntu), docker, postgres, python and shell scripting skills
- Build and maintain a wide running of knowledge of data privacy and data compliance trends (IAPP)
- Work is expected to be conducted remotely also the possibility of travel
- Reports to VP, Professional Services
Solutions Engineer - Technology Skills:
- Database knowledge (table, scripting, optimization, data manipulation, modelling approaches) with postgres is a must
- Linux platform experience including environment preparation, application installation and application deployment (Ubuntu, RedHat) as well as sophisticated shell scripting skills is a must
- Exposure to cloud platforms (Azure, AWS, GCP, IBM or others) is a plus
- Exposure to data visualization tools (Apache SuperSet, Power BI) is a plus
- Understanding of hybrid networking (OpenVPN, Site-to-Site VPN) is a plus
- Understanding of containerization technologies (Docker, Kubernetes) is a plus
- Understanding of cloud security and cloud adoption frameworks is a plus
- Exposure to augmented data catalogs, automated compliance, or privacy compliance solutions is a plus
Solutions Engineer - Additional Skills:
- Familiar with project management practices and lifecycle
- Familiar with building a presentation that explains an idea
- Familiar with building a high-level design (HLD) documents
- Familiar with building a diagram to illustrate key points
- Comfortable presenting to a group and answering their questions is a must
- Comfortable with written and verbal communication in a group setting
About Data Sentinel’s Mission & Culture:
- Data Sentinel enables businesses to address concerns related to data governance, privacy or compliance so our clients can focus on their core business goals
- Data Sentinel’s environment and diverse clients provide our team with experiences in many different businesses scenarios and technical environments
- Data Sentinel’s core business principle is to provide a quality solution to our clients that completely solves their important business problems.
- Data Sentinel is a meritocracy and we value fairness, mutual respect, appreciation for individual and group contributions, common sense and logic
Top Skills
Python
The Company
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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