MUTT DATA

Cloud Engineer

• Define and maintain data architecture guidelines: Ingestion, transformation, storage, consumption, and governance patterns.
• Provide strong, independent judgment in design reviews and architecture decisions across the client's data ecosystem.
• Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
• Act as the trusted technical liaison: Translate business needs into technical solutions, and technical decisions into executive-level language.
• Identify opportunities to evolve the scope of our services and shape them into technical-commercial proposals.

Cloud Data Architect – DBT

Data Engineer

• Partner with cross-functional teams to define BI and analytics requirements
• Innovate with new tools to improve Mutt Data's infrastructure and processes.
• Design dimensional data models and build scalable data pipelines
• Develop data models to feed dashboards for teams across the org, as well as client-facing analytics
• Develop tools for the team and assist in tech migrations and model design.
• Build scalable, high-performance data architectures.
• Focus on code quality—review, document, test, and integrate CI/CD.

Lead Data Engineer

Machine Learning Engineer

• Collaborate with the team to define goals and deliver custom data solutions.
• Innovate with new tools to improve Mutt Data's infrastructure and processes.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end—build, maintain, and improve data systems while working with clients.
• Develop tools for the team and assist in tech migrations and model design.
• Build scalable, high-performance data architectures.
• Focus on code quality—review, document, test, and integrate CI/CD.

Account Executive

• Sell
• Collaborate on Mutt's ongoing sales opportunities and leads. Respond to client RFP and service requests, sharing our value proposition and drive processes - several per month.
• Help review and provide feedback for Mutt’s marketing communications pieces and presentations - once per month
• Participate in networking activities such as marketing events, workshops and conferences - a few per Q.
• Research and track information on possible leads, market opportunities and sales tactics from similar companies or competitors - every week.
• Pipeline - Use a set of tools, frameworks, processes, and methodologies to track the sale’s pipeline progress in our CRM - on a biweekly basis.
• Proposals - Create initial drafts or send consulting work proposals and iterate client contracts with the legal team - every month.
• Track - Keep engagement status and oversight info updated. Add information on current status and obstacles - every week.
• Account Management
• Build relationships with current clients and drive them to become Mutt's champions - every week.
• Help track project economics with planning and budgeting activities. Propose ideas to increase buy-in of proposed solutions from the client’s stakeholders - every month.
• Identify new tracks or staffing opportunities for current accounts, based on Mutt’s offerings - once per Q.
• Other Teams' Support
• COO and Ops Leadership with relevant information and analysis for relevant decision-making on staffing and presentations.
• Tech Leaders/Project Managers in account expectations, pain points, possible farming opportunities, and client satisfaction surveys.

Sales Executive

Solutions Engineer

• Take full ownership of new connector requests, driving them from initial requirement to production enablement.
• Lead and push homologation processes with Security and other internal stakeholders until approval is achieved.
• Identify and resolve technical and administrative bottlenecks that slow down adoption.
• Coordinate with business and technology teams to ensure use cases progress effectively.
• Ensure connectors are not only approved but fully operational and usable in real scenarios.
• Provide technical clarity around integrations and connector architecture.
• Actively drive adoption of low-code solutions across teams.
• Lay the groundwork for future advanced automation initiatives.

Cloud Data Architect – DBT

Lead Data Engineer

Machine Learning Engineer

Sales Executive

AI Specialist, Solutions Architect