Data Science & Analytics Architect

Key Skills

logo, Java Programming, Design, Python Programming, SQL, DevOps, API, Scala Programming, Data science techniques, Jenkins, Continuous Integration & Continuous Delivery - CI/CD, Github, Spinnaker

Job Description

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Description

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

Position Summary

We are looking for an expert Data Science and Solutions Architect in Lehi, Utah or San Jose, California. The Site Reliability Engineering organization ensures reliability of the infrastructure and services that power Adobe products. The architect will work with partners in multiple business units and various organizations to build analytics around our customer success journey to provide data driven, technical insights into the reliability, resiliency and overall quality of our product offerings. As a team we will build governance and compliance around these key areas to ensure the transparency that drives positive customer experience.

Responsibilities

• Analyze business requirements, develop use cases, inventory available data & trends, evaluate systems and tools.
• Provide leadership in strategic data and analytics assessment process and design roadmaps for implementation.
• Posess passion for customer success
• Collaborate across the enterprise with a number of partners to obtain consensus on the approach and gain support for implementation.
• Lead development of Proof-of-Concept projects to validate new architectures and solutions.
• Mentor and help grow team colleagues from analytics team comprised of data analysts, data engineers, business intelligence and business analysts.
• Proven track record of incorporating appropriate governance, compliance, and hardening into the design phases of product development. You will help make doing the right things easy by ensuring they are repeatable, detailed, and clear.

Technical

• Data science applied to quality metrics and correlation of data systems to provide insights and implement reliability standards
• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management
• Experience with Identity, Security Architecture, Security Management and Network Security
• Experience and understanding of application portfolios in enterprise-wide environments
• Experience with scalable architectures using API management, serverless technologies, container orchestration
• Software development practices like DevOps and CI/CD tool chains (i.e. Jenkins, Spinnaker, GitHub).
• Proficient with Python, Java, Scala and/or Go.
• Understanding of partner ecosystems and applying the latest technologies to solve customer needs

Minimum Qualifications

• Leadership – Respected by your peers and often sought out before big decisions are made. Ability to think about the long term but know how to relate it the current situation. Ability to see gaps in existing systems and design and drive improvements.
• Performance – Consistently ranked at the top of the stack.
• Partnership – Ability to work with a wide variety of people. Amiable, respectful, listen to other’s ideas, and give credit where deserved. Strong collaboration skills working with local and remote teams.
• Curious – Keen interest in understanding how systems of all kinds work, you see relevance between systems and are able to spot vital improvements.
• Communication – Excellent written and oral communication skills. Experience presenting to business and technical audiences with brevity and clarity. Ability to balance strength & diplomacy in driving results. Strong influencing / negotiating skills.
• Business – MBA, have run your own business, or experience in key leadership positions. Ability to create a business case with technical, business and financial justification.
• Operations – Proven understanding and experience in public cloud driving operational improvement programs
• Education – BS/BA in Computer Science, Data Sciences, Analytics or a related quantitative field of study
• At least 5 years of experience in leading and designing data and analytics solutions.