Zendesk

Lead Data Architect

Zendesk

full-time

Posted on:

Origin:  • 🇺🇸 United States • Wisconsin

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $161,000 - $241,000 per year

Job Level

Senior

Tech Stack

AirflowAWSCloudD3.jsGoogle Cloud PlatformPythonSQLTableau

About the role

  • Provide strategic direction, standard processes, frameworks, design patterns, and contribute to our data architecture implementation including leading MDM architecture roadmaps.
  • Collaborate with Enterprise Data & Analytics, Product Architecture and Security teams to design data movement, integration, and transformation models.
  • Evaluate and design high-performance end-to-end data architectures, capture requirements, gain consensus, and evolve data architecture as business strategies and technologies mature.
  • Lead and create overall master data solution architectures, system landscapes (blueprints), governance workflows, and systems integration and implementation standards/patterns.
  • Produce solution design artifacts including technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models.
  • Evaluate and support data solutions across tools such as GCP Airflow, AWS Lambdas, Python, Cloud Functions, DBT, Astronomer.io, Workato.
  • Lead and design best-in-class practices for data movement and integration patterns, define target architectures and tools.
  • 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.

Requirements

  • Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL
  • 10+ years of data architecture experience leading MDM roadmaps, defined business cases and implementation efforts
  • Deep understanding of master data management principles, data governance frameworks, and industry best practices
  • Creating ETLs and reverse-ETLs patterns and services to handle data from various data sources, formats, and use cases
  • Experience with streaming, batch and micro-batch data processing and workflows
  • Built and implemented “citizen integrator” (user self-service) operating models and solutions using iPaaS or related technologies
  • Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners
  • Preferred: Enterprise data management experience including exposure to analytics and data science, BI, MDM, governance, quality, security and issue management
  • Preferred: Experience driving and leading major data modernization projects
  • Preferred: Experience with principles such as reuse, deployment, scalability, observability, security, testing and high availability
  • Preferred: Experience and expertise in the Lean-Agile principles and development
  • Preferred: TOGAF, ITIL, AWS Certified Cloud Practitioner or similar certifications
  • Preferred: Proficiency in visualization tools (Tableau, D3, Looker, etc.)