Databricks Resident Solution Architect

Marlabs; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Marlabs is seeking a Databricks Resident Solution Architect to design, guide, and operationalize modern cloud data platforms built on the Databricks Lakehouse. You are a senior hands-on architect collaborating with client stakeholders to establish architectural foundations, governance standards, and long-term platform strategies.

You will lead data engineering, analytics, and AI-enabled use cases, enforce data governance with Unity Catalog, and optimize performance and cost in regulated

Qualifications

• 10+ years in data engineering, data architecture, or analytics engineering.
• 5+ years hands-on with Databricks (Delta Lake, Unity Catalog, Workflows/Jobs, Lakehouse).
• Databricks Professional Certification mandatory.
• Strong Apache Spark (PySpark), Python, and advanced SQL skills.
• Production-grade, large-scale data pipelines experience.
• Hands-on with at least one major cloud (Azure preferred, AWS/GCP ok).
• Experience with data modeling, Medallion architecture, and enterprise data platform design; familiarity with Terraform and CI/CD.
• Strong communication and stakeholder-facing skills in regulated environments.

Responsibilities

• Architect and guide Databricks-based data platforms using Lakehouse patterns.
• Provide hands-on leadership across data engineering, analytics, and AI-enabled use cases.
• Define and enforce data governance, security, and access using Unity Catalog.
• Enable AI/ML workloads and integrate ML pipelines and model lifecycle.
• Optimize platform performance, scalability, and cost with FinOps mindset.
• Collaborate with business leaders and engineers to align platform with enterprise needs.
• Serve as resident technical authority, mentoring teams and ensuring quality.

Skills

Databricks

Spark

Python

SQL

Data governance

AI/ML readiness

Cloud platforms

Data architecture

Stakeholder communication

Education

Databricks Professional Certification

Tools

Delta Lake

Unity Catalog

Workflows/Jobs

Terraform

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Databricks Resident Solution Architect to join our innovative and dynamic team.

Candidates must be based in Singapore or legally authorized to work in Singapore, with the ability to work on‑site as required.

Databricks Resident Solution Architect | About You

As a Databricks Resident Solution Architect, you are a senior, hands‑on architect responsible for designing, guiding, and operationalizing modern cloud data platforms built on the Databricks Lakehouse. You bring deep expertise in Databricks, Spark, and large‑scale data engineering, and you are comfortable operating within complex, regulated enterprise environments. You thrive in resident architect engagements, working closely with client stakeholders to establish strong architectural foundations, governance standards, and long‑term platform strategies. You excel at translating business objectives into secure, scalable technical designs and guiding teams through platform adoption, analytics enablement, and AI readiness. You are confident in acting as a technical authority while collaborating effectively across business and engineering teams.

Databricks Resident Solution Architect | Day-to-Day

• Architect and guide implementation of Databricks‑based data platforms, leveraging Lakehouse and Medallion architecture best practices.
• Provide hands‑on technical leadership across data engineering, analytics, and AI‑enabled use cases using Databricks.
• Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles.
• Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem.
• Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset.
• Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs.
• Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.

Databricks Resident Solution Architect | Skills & Experience

• 10+ years of overall experience in data engineering, data architecture, or analytics engineering roles.
• 5+ years of hands‑on experience with Databricks, including Delta Lake, Unity Catalog, Workflows/Jobs, and Lakehouse architecture.
• Databricks Professional Certification (MANDATORY).
• Strong expertise in Apache Spark (PySpark preferred), Python, and advanced SQL.
• Proven experience designing and implementing production‑grade, large‑scale data pipelines.
• Hands‑on experience with at least one major cloud platform (Azure preferred, AWS or GCP acceptable).
• Experience with data modeling, Medallion architecture, and enterprise data platform design.Familiarity with CI/CD pipelines, infrastructure automation tools (e.g., Terraform), and Agile delivery practices.
• Strong communication and stakeholder‑facing skills, with experience operating in regulated enterprise environments.