Manager of Data Services

1 month ago

Edmonton, Canada Ask Media Group Full time

**Employer**: Investopedia Canada

**Position**:Manager of Data Services

**Terms of Employment**:Full-time / Permanent

**Location**:Edmonton, Alberta

**Employment Address**:4208 97 Street NW, Suite #200, Edmonton, AB T6E-5Z9

**Hours of Work**:40 hours/week

**Language**:English

**Benefits**: Eligible for discretionary bonuses and/or salary increases in accordance with company policy. Flexible vacation, medical/dental/vision options, pet insurance, RRSP pension plan, tuition reimbursement, charity gift matching, huge discounts to wireless/gym/travel/much more. Our office has free snacks, catered lunch, and more.

**Salary**:$169,387.53 CAD annually***

***

**The Company**

**The Role**

The Manager of Data Services will work in an agile environment interacting with multiple technologies and business areas, designing and developing next generation big data and data insights platforms and related services. This person will work with a diverse team of machine learning engineers and analytics professionals to define strategy and explore solutions for clients in a platform-diverse environment. As a leader, you will excel at the team's mission to provide high quality service and results while cultivating an environment that motivates engineers to perform and innovate to the best of their abilities.

**Duties**:

- Planning, organizing, directing, and architecting solutions, cross finance, marketing, analytics and product, to build trust in our data and deliver on a data driven business.
- Developing and implementing data models and policies for data processing and usage across the different verticals in the company
- Overseeing and ensuring Analytics, Data Science and product engineering teams are able to accurately and efficiently derive business effectiveness from the data.
- Provide leadership and management to a team of data engineers. You'll split your time between unblocking your team, vetting their designs, and coaching them to realize their full potential
- Working as an architect on a robust, reliable, and scalable data pipeline, bringing maintainable cloud centric performant solutions
- Ensuring accuracy of data and working to identify and mitigate recurring issues
- Collaborating with the data science team to build services that effectively use our data and insights within
- Translating business concepts into technical solutions that align with stakeholders' needs
- Helping create strategic roadmap surrounding the big data and analytics space
- Researching and evaluating new tools and technologies to solve complex business problems
- Exhibiting interest and tenacity in exploring key opportunities for next generation technologies and developing prototypes to demonstrate product ideas

**Requirements**:

- 7+ years of industry experience with focus on cloud technologies, object-oriented or functional programming.
- 2+ years of experience managing technical teams, preferably around big data, data modeling, scalable services and data insights.
- Strong engineering skills with a solid understanding of core computer science fundamentals, high performance data structures and algorithms, object-oriented concepts, Java and Python**-**:

- Capable of building stable and scalable high-performance services
- Experience designing and evaluating heuristics to deal with machine learning, and databases
- Strong interest and tenacity for identifying problems and developing innovative solutions.
- Experience with Agile methodologies (Scrum, Kanban)
- Experience with GitLab
- Strong communication skills with the ability to articulate, diagram and document
- **Bonus points** if you have experience with Kubernetes workflows, AWS, Spark, data modeling and machine learning

**Additional Information**

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

**#LI-DNI

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