Senior Resident Solution Architect

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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

• Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures. • Design and implement modern Data Lakehouse solutions using Databricks. • Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark. • Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles. • Lead solution design discussions, technical workshops, and architecture reviews with customers. • Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques. • Optimize Spark workloads for performance, scalability, and cost efficiency. • Design secure, reliable, and highly available data solutions with appropriate governance and monitoring. • Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions. • Identify opportunities for platform optimization, automation, and continuous improvement. • Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required.

🎯 Requirements

• 10+ years of overall experience in Information Technology. • 6+ years of hands-on experience designing and implementing solutions using Databricks. • Proven experience in architecting enterprise-scale data platforms and analytics solutions. • Strong hands-on expertise in Databricks. • Strong programming skills in Python and SQL. • Extensive experience with Apache Spark (PySpark/Spark SQL). • Solid understanding of Data Lake and Lakehouse architectures. • Experience implementing Medallion Architecture (Bronze, Silver, Gold layers). • Expertise in designing and maintaining scalable ETL/ELT pipelines. • Strong knowledge of data modeling, partitioning, optimization, and performance tuning. • Experience working with structured, semi-structured, and unstructured data. • Good understanding of data quality, governance, and security best practices. • Familiarity with CI/CD practices, version control (Git), and Agile methodologies. • Excellent customer-facing and stakeholder management skills. • Strong analytical and problem-solving abilities. • Excellent verbal and written communication skills. • Ability to lead technical discussions and influence architectural decisions. • Strong collaboration and mentoring capabilities. • Ability to manage multiple priorities in a fast-paced environment.