Guide clients on optimizing their data environment to work most effectively and efficiently for them.
Develop system engineering, integrations, and architectures based on client needs.
Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
Manage technical teams of up to 4-6 people, delegating work to associates across concurrent engagements.
Assign staff with appropriate skill sets in associate and junior consultants to projects in conjunction with the project manager
Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.

Requirements

5 to 8 years of work experience in a data analytics and/or data engineering role.
Minimum of 1 year leading projects, either formally or informally.
Able to manage internal employees (ideally having formal direct reports).
A passion for exploring and solving different kinds of problems.
A desire to learn and assimilate technical information quickly.
Exposure to developer tools/workflow (e.g. git/github, SSH). Knowing how to get around a command line environment.
Project management (eg. Basecamp, JIRA, ASANA).
Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI).
Experience with data warehousing and using Snowflake.
Experience optimizing database/query performance.
Proficiency with a scripting language (e.g. Python, R, Perl, bash) and advanced SQL.
Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering) (preferred).
Worked for a consulting/services organization (preferred).
Worked with or for Media & Entertainment or Telecom companies (preferred).

Benefits

Unlimited Vacation
Medical, Vision, and Dental Insurance
Paid Family and Medical Leave
Individual and Company Bonus Programs
Regular, In-person Company Events
Flexible Work Policy
Remote Work Stipend
401(k) Matching
Learning and Development Programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsdata engineeringdata modelingETL pipelinesbusiness intelligencedatabase optimizationscripting (Python, R, Perl, bash)advanced SQLdata warehousingproject management

Soft Skills

problem solvingleadershipteam managementcommunicationtechnical teachingdelegationadaptabilitycollaborationclient engagementthought leadership

Certifications

Bachelor's degreeMaster’s degree