Databricks Solution Architect

Unison Group; Deutschland; Hybrid; EUR 102.000 - 143.000; Teilzeit

Zusammenfassung

Unison Group seeks a hands-on Senior Consultant – Databricks to design, implement and operationalize Delta Lakehouse architectures for enterprise clients across the region. You will own technical delivery, mentor teams, and ensure governance and security in data platforms using Databricks, Delta Lake, MLflow and related tools.

Based in Singapore with on-site client work or regional remote arrangements, the role emphasizes scalable data pipelines, ML workloads, and cost-efficient operations.

Qualifikationen

• Strong hands-on Databricks experience including workspace setup and orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Terraform automation, DevOps, and MLOps practices.
• Familiarity with monitoring and governance frameworks for large-scale data platforms.

Aufgaben

• Design and implement scalable Delta Live Tables pipelines.
• Optimize ETL, streaming, and ML workloads for performance and cost.
• Administer Databricks Workspaces, Unity Catalog, and cluster policies.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring frameworks.
• Collaborate with customers to build AI/LLM solutions leveraging MLflow and related tools.

Kenntnisse

Databricks

Delta Lake

Delta Live Tables

Python

Scala

Cloud platforms

Terraform

MLOps

CI/CD

Observability

Git

MLflow

LLM pipelines

Jobbeschreibung

Job Description

We’re seeking a hands‑on Senior Consultant – Databricks with deep technical expertise in building and optimizing Lakehouse‑based data and AI solutions. This is a contract role based in Singapore, offering flexibility to work on‑site with clients or remotely within the region.

In this role, you’ll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You’ll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key Responsibilities

Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.

Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.

Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.

Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.

Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Required Skills & Experience

Strong hands‑on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.

Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.

Proficiency in Python or Scala for data engineering and ML workflows.

Strong understanding of AWS, Azure, or GCP cloud ecosystems.

Experience with Terraform automation, DevOps, and MLOps practices.

Familiarity with monitoring and governance frameworks for large‑scale data platforms.

Nice to Have

Experience developing AI/LLM pipelines and RAG architectures on Databricks.

Exposure to Bedrock, OpenAI, or Hugging Face integrations.

Databricks certifications (Data Engineer, Machine Learning, or Solutions Architect) preferred.