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Senior Data Architect (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Architect (Databricks): Designing and governing Databricks Lakehouse platforms for client data strategy programs with an accent on Unity Catalog, Microsoft Purview, CI/CD, and Lakeflow architecture. Focus on defining secure environment separation, migration paths from Azure Data Factory, medallion standards, and production-ready governance foundations.

Location: Hybrid across major Australian locations, including Sydney, Canberra, Melbourne, Brisbane, and Perth; occasional travel to client sites. Open to Permanent Residency Visa.

Company

hirify.global is an ASX-listed Australian advisory and IT solutions company with a Data & Integration business unit delivering on-premises, hybrid, and cloud integration solutions.

What you will do

  • Lead the technical uplift of Databricks Lakehouse platforms for clients and define governed, automated, production-grade data delivery foundations.
  • Design Unity Catalog metastore provisioning, catalog and schema hierarchies, workspace binding, and access models.
  • Design Microsoft Purview classification, PII handling, lineage scanning, and source registration architecture.
  • Define CI/CD promotion models, dev/test/prod environment separation, and Azure DevOps and Databricks Asset Bundles implementation patterns.
  • Design Lakeflow Declarative Pipelines ingestion patterns and migration paths from Azure Data Factory, including resolution of pipeline and cluster architecture conflicts.
  • Provide technical governance, review engineering deliverables, facilitate client design workshops, obtain sign-off, and contribute to presales and scoping.

Requirements

  • At least 5 years of data platform experience, including at least 2 years in a hands-on Databricks architecture role.
  • Current Databricks certification, such as Databricks Certified Data Engineer Professional or Databricks Certified Associate Developer for Apache Spark.
  • Deep hands-on experience with Unity Catalog, including metastore provisioning, catalog and schema hierarchy design, workspace binding, and access model implementation.
  • Experience designing and implementing Databricks CI/CD pipelines with Azure DevOps and Databricks Asset Bundles, including dev/test/prod separation.
  • Understanding of Infrastructure as Code principles and tools such as Terraform, ARM templates, or Bicep for Azure data platform resources.
  • Experience designing and deploying Microsoft Purview, including classification, PII controls, lineage scanning, and source registration.
  • Experience with Lakeflow Declarative Pipelines or Databricks Delta Live Tables and migration architecture from Azure Data Factory.
  • Strong understanding of Bronze/Silver/Gold medallion architecture and ability to define consistent engineering standards and patterns.
  • Ability to create actionable architecture artefacts, including source-to-target mapping standards, environment design documents, and security models.
  • Strong stakeholder engagement skills, including design workshops, architecture presentations, and client sign-off.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.

Nice to have

  • Experience remediating Azure data environment security issues, including Blob storage access controls and Synapse Link/CDC configurations.
  • Familiarity with Coalesce as a Databricks transformation layer and its integration with Unity Catalog and CI/CD pipelines.
  • Exposure to membership-based, not-for-profit, or similar organisations with complex data residency and PII obligations.
  • Experience contributing to presales and scoping, including effort estimation and technical proposal writing.
  • Understanding of Databricks cost management and cluster policy design.

Culture & Benefits

  • Permanent full-time employment or contract engagement, with a hybrid working model.
  • Supportive culture focused on innovation, collaboration, continuous learning, and smart work practices.
  • Career growth through succession planning, internal promotions, mentorship, certifications, and study assistance.
  • Employee benefits, recognition, wellbeing platform, Employee Assistance Program, and paid parental leave.
  • Support for family and caring responsibilities, employee referral incentives, and diversity, equity, and inclusion initiatives.

Hiring process

  • Applications must be submitted online through the hirify.global careers process.
  • The recruitment process may also be used to create a talent pool for similar opportunities arising within the following 12 months.

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