Databricks Solution Architect

🔥 14 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Unison Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

💳 Fintech

🤖 Artificial Intelligence

Consulting • Fintech • Artificial Intelligence

Unison Group is a Singapore-founded (2012) boutique technology and consulting firm that empowers global financial institutions with specialized services in risk, compliance, analytics, and cloud-native digital transformation. The firm focuses on Liquidity Risk, Market Risk, Credit Risk, and Regulatory Compliance and delivers consulting, system integration, business intelligence, and software/IT development. Key capabilities include data engineering and analytics, cloud engineering (AWS/Azure/Databricks/Snowflake), AI & ML (Generative AI, MLOps, automation), and BFSI-focused solutions; it also offers proprietary platforms (uArrow, Risk Insight, Regulatory Reporting, Workflow, Enterprise AI) to support enterprise-grade deployments and real-time compliance. Unison partners with banks and financial institutions to implement secure, scalable, and compliant systems that drive operational efficiency and informed decision-making.

📋 Description

• 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.

🎯 Requirements

• 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.