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Cedera

Senior Digital Architect - MarTech & Commerce Denver, Colorado

Cedera, Denver, Colorado, United States, 80285


Credera is a global boutique consulting firm serving clients ranging from Fortune 500 to emerging industry leaders. Our Credera Digital team has enjoyed significant growth and is expanding to meet our client needs.Credera Digital provides strategy, enablement, and optimization services across key marketing capabilities and platforms: Marketing Orchestration, Customer Journey, Intelligent Content, AdTech and Paid Media, Measurement & Analytics, Single Customer View, SEO, and Commerce. Digital’s capabilities provide deep domain expertise in both technical skills and strategic advisory, providing critical value to our clients.Senior Digital ArchitectSenior Digital Architects work directly with clients and stakeholders to design highly usable, scalable, extensible, and maintainable solutions. They are hands-on from proposal to development to deployment and responsible for first level escalations.A Senior Digital Architect is expected to maintain an ongoing understanding of top platforms, emerging trends, AI impacts, etc. They are also expected to be knowledgeable about marketing operations, data, channel orchestration, and common use cases marketers are seeking to implement. They are passionate about their work, self-motivated, detail-oriented, team-oriented, excellent communicators, and possess excellent problem-solving abilities. They will deal with highly ambiguous problems, take responsibility for finding solutions, and will drive towards simple solutions to such complex problems.The Senior Digital Architect is an integral part of the Credera Digital team who participates in growing the Practice with strategy formulation, team building, mentoring, and recruitment.Responsibilities

Participate in the sales cycle as needed.Meet with clients to determine business, functional, and technical requirements to design the technical roadmap to deliver secure, compliant MarTech solutions based on best practices.Translate business requirements into component-based framework solutions.Perform analysis, design, customization, and configuration for data migration and integrations.Participate in and/or lead efforts of full lifecycle development in a mixed environment to support/make new enhancements and automation of existing applications.Ability to define the system landscape, to identify gaps between current and desired end-states.Troubleshoot key implementation issues and drive to successful resolution.Establish client relationships as a trusted advisor while providing first level escalation for client concerns and share key milestone celebrations with the team.Communicate effectively within a globally distributed team.Document best practices and operational procedures.Basic Qualifications

Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.Contribute in a team-oriented environment.Prioritize multiple tasks in order to consistently meet deadlines.Creatively solve problems in an analytical environment.Adapt to new environments, people, technologies, and processes.Excel in leadership, communication, and interpersonal skills.Establish strong work relationships with clients and team members.Generate ideas and understand different points of view.Who You Are

You have a minimum of 7 years of technical, hands-on experience designing, enabling, and optimizing Marketing Technology systems and solutions.Experience leading teams to create personalized experiences that deliver meaningful customer and business outcomes.You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success.You have a passion for leading teams and providing both formal and informal mentorship.You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level.You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems, or a related field of study.The ideal candidate will have deep technical knowledge and hands-on experience in the following:Major MarTech platforms (e.g., Salesforce, Adobe, Google) and their product offerings.Typical MarTech capabilities (1st & 3rd Party Data Collection, Consent Management, CDP, CRM & Marketing Automation, MRM, Content Management, AdTech, Measurement & Analytics) and common platforms offering these capabilities.Common programming languages and frameworks (e.g., Java, Python, Client- and Server-side JavaScript).Major cloud providers (e.g., AWS, Azure, GCP) and their offerings.The ideal candidate will also have some, or all of the following:Certifications with relevant digital marketing tools.Experience with machine learning technology.Solid understanding of data governance and data privacy best practices.Experience Requirements

Software Engineering (7-10 years)Full-stack development experience, primarily open-source technologies:Frontend: React, or equivalent.Cloud: AWS, or equivalent.Project/Program Management (5+ years)Relevant leadership experience in all, or most of the following:Technical Project Management.Solution Architect.Product Management.Track record of mentoring and growing emerging leaders.MarTech & Commerce Experience (5+ years)Relevant experience in all or most of the following:Commerce Development.CMS (Contentful, AEM).Marketing Automation (SFMC, Braze).Adtech (SF DMP, AppsFlyer).Experience building various bespoke solutions across multiple platforms & custom applications.MarTech & Commerce Strategy.Breadth of understanding across the full scope of both MarTech and Commerce ecosystems.MarTech Assessment, gap analysis, and roadmap strategy.Commerce Assessment, gap analysis, and roadmap strategy.Data & Data Science Expertise (2-3 years)Relevant experience in all or most of the following:Data Analysis -- various languages (Python, R), libraries (Pandas, TensorFlow, SKLearn), visualizations (PBI, matplotlib), techniques (data cleaning/preprocessing, feature engineering).ML concepts -- supervised/unsupervised learning, reinforcement learning, experiment design, model training & fine-tuning, mlops.Compensation

The salary range listed is for informational purposes. Credera treats all applicants as individuals taking into consideration but not limited to their professional and academic experience, specialized training, certifications, and associated responsibilities as it relates to our specific industry. The salary range listed is just one component of our total compensation package including benefits for each unique employee.Benefits: Health, Dental, Vision, AD&D Insurance, Vacation / PTO / Holiday pay plus matching 401K, Tuition & Travel Expense Reimbursement as needed.Bonus: This position is eligible for a variable compensation element.

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