Enterprise Data Architect

Overview

Zendesk’s Enterprise Architecture team is looking for an Enterprise Data Architect (Senior Staff level) who will guide us in building digital data systems and platforms. In this role you will provide strategic direction, standard processes, frameworks, design patterns, and contribute to our data architecture implementation including leading MDM architecture roadmaps. Additionally, you will collaborate with Enterprise Data & Analytics, Product Architecture and Security teams to design best-in-class data movement, integration, and transformation models that effectively deliver accurate data to our teams!

This is a technical role working with innovative technologies while also being able to communicate sophisticated ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical and practical strategy that teams employ across the enterprise. You will evaluate and design high-performance end-to-end data architectures, capture requirements, gaining consensus, and evolve data architecture as business strategies and technologies mature.

What You’ll Be Doing

• Contribute to and make recommendations to Zendesk’s data ecosystem with a focus on multi-cloud architecture capable of supporting various data types; structured, semi-structured and unstructured data at the petabyte scale
• Lead and create overall master data solution architectures, system landscapes (blueprints), governance workflows, and systems integration and implementation standards / patterns
• Collaborating with business stakeholders and technical teams to understand business processes, master data management requirements and challenges, maturity levels, and identify opportunities for the design of a best of breed MDM solution
• Produce relevant solution design artifacts including but not limited to technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models
• Evaluate and support data solutions within and across a variety of data tools such as GCP Airflow, AWS Lambdas, Python, Cloud Functions, DBT, Astronomer.io, Workato
• Lead and design best in class practices leading to implementation planning of data movement and integration patterns across our ecosystem, defining target architectures and tools
• Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data
• Partner with team members to develop a Single View of Customer and Customer Data Platform (CDP) strategy
• Act as an advisor for new and emerging technologies, patterns, and trends

What You’ll Bring to the Role

Required :

Preferred :

The US annualized base salary range for this position is $161,000.00-$241,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

Hybrid : In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

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