IT Data Architect

Rentokil Pest Control North America

Data Architect guiding the development of a portfolio of data solutions for a global pest control leader. Involves hands-on influence in architecture, data management, and governance practices.

Posted 5/13/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformInformaticaNoSQLRDBMS

About the role

Key responsibilities & impact

Guide the development and management of a portfolio of solutions in the data, reporting, predictive intelligence, and data science domains
Provide architectural direction and guidance to data engineering teams
Translate business problems, requests, and/or requirements into defined data solutions
Document the data platform to effectively capture and communicate how business capabilities are realized or enabled through technology and process
Develop strategies, roadmaps, principles, standards, and best practices for the data platform
Develop PoCs as required
Support engineering teams in executing against strategies, roadmaps, principles, standards, and best practices for the data platform
Provide coaching, mentoring and guidance for engineering and delivery teams
Analyze industry, technology, and market trends to introduce best practice frameworks/capability models tailored to control costs, provide higher quality and/or increase predictability of service delivery

Requirements

What you’ll need

Bachelor’s degree in Computer Science or related field
7 years of experience in an architectural role or an equivalent combination of education and experience
Seven (7) years experience in data architecture or a related technical field with significant design contribution
Strong knowledge of data ecosystems, Big Data patterns, Cloud Service Providers, business intelligence solutions, data integration patterns, common data warehousing patterns, retrospective reporting, predictive analytics, and exploratory analytics patterns
Strong knowledge of modern data and platform delivery practices in one or more recognized paradigms (data fabric, data mesh, data warehouse, data lake house, data lake, etc.)
Expert knowledge across a broad set of data delivery and data hosting platforms (RDBMS, NoSQL tools, data warehouses, data query tools, data visualization tools, persistent data models, integration platforms, etc.)
Expert understanding of data engineering fundamentals, implementation of modern data platforms, and data modelling characteristics
Familiarity with information management practices, system development life cycle management, IT services management, and one or more architectural frameworks
Strong knowledge of AWS, Azure, GCP, Snowflake, or equivalent
MDM knowledge (Reltio, Informatica, or similar) is a plus

Benefits

Comp & perks

Start Day 1 for Full-Time Colleagues - No Waiting Period!
Professional and Personal Growth
Multiple avenues to grow your career
Training and development programs available
Tuition Reimbursement benefits (for FT Colleagues)
Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more
401(k) retirement plan with company-matching contributions
Vacation days & sick days
Company-paid holidays & floating holidays
A company mindset that prioritizes health, safety, and flexibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata ecosystemsBig Data patternspredictive analyticsdata integration patternsdata warehousing patternsdata delivery practicesdata modellingdata engineering fundamentalscloud service providers

Soft Skills

coachingmentoringguidancecommunicationstrategic planningproblem solvingleadershipcollaborationanalytical thinkingdocumentation