NCS Australia
Tech / AI / Software
DatabricksArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Databricks Architect at NCS Australia. Skills: Databricks, Spark, Delta Lake, Lakeflow, Azure, AWS, big data patterns and architectures, platform design, governance, security, integration. designing secure, scalable and cost‑efficient Databricks environments. leading platform design”
What You'll Achieve.
make tomorrow together; shape better outcomes; ensure alignment with client expectations
Industry & Context.
problem‑solving skills; resilience under pressure
valid work rights for Australia, willingness to undergo a comprehensive background checking process, including probity and police checks
What They're Looking For.
Must Have
Deep knowledge of Databricks, Deep knowledge of Spark, Deep knowledge of Delta Lake, Deep knowledge of Lakeflow, understanding of big data patterns and architectures, Experience with Azure or AWS data and analytics workloads, Clear written and verbal communication, Ability to guide and influence technical teams, problem‑solving skills and resilience under pressure, Able to manage stakeholders with tact and sensitivity, valid work rights for Australia, willingness to undergo a comprehensive background checking process
Nice to Have
Databricks Professional certification
What You'll Do.
scalable and cost‑efficient Databricks environments
leading platform design
setting up governance controls
ensuring good integration with Azure
AWS or on‑prem workloads
leading migration of data and analytics workloads into Databricks
providing guidance on cluster
notebook and pipeline best practice
designing the Databricks platform architecture
leading workload migrations
defining platform governance and security controls
developing integration patterns
providing technical direction across clusters
ongoing delivery support
reviewing solution designs
optimising cluster performance
resolving technical platform issues
working closely with project teams and stakeholders to ensure alignment with client expectations
contributing to capability uplift across the practice by sharing reusable patterns and best practices
coaching team members
actively participating in internal and external Databricks community initiatives
How You'll Work.
Team & Collaboration
Ability to guide and influence technical teams; working closely with project teams and stakeholders to ensure alignment with client expectations; coaching team members; actively participating in internal and external Databricks community initiatives
Communication Scope
Clear written and verbal communication
Full Job Description
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow. The role involves designing secure, scalable and cost‑efficient Databricks environments. It includes leading platform design, setting up strong governance controls and ensuring good integration with Azure, AWS or on‑prem workloads. The architect also leads migration of data and analytics workloads into Databricks and provides guidance on cluster, notebook and pipeline best practice. The role is responsible for designing the Databricks platform architecture, leading workload migrations, defining platform governance and security controls, and developing integration patterns while providing technical direction across clusters, notebooks and jobs. It also involves ongoing delivery support by reviewing solution designs, optimising pipelines and cluster performance, resolving technical platform issues, and working closely with project teams and stakeholders to ensure alignment with client expectations. In addition, the role contributes to capability uplift across the practice by sharing reusable patterns and best practices, coaching team members, and actively participating in internal and external Databricks community initiatives. ## Qualifications * Deep knowledge of Databricks, Spark, Delta Lake, Lakeflow * Strong understanding of big data patterns and architectures * Experience with Azure or AWS data and analytics workloads * Databricks Professional certification preferred * Clear written and verb
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