Principal Data Engineer

Get To Know Us:

SS&C GIDS provides information processing and computer software services and products. The Company’s operating segments include financial markets, customer management, professional services, and output solutions. SS&C GIDS serves the alternative investments, asset and wealth management, banking and lending, insurance, and real estate industries.

Why You Will Love It Here!

• Flexibility: Hybrid Work Model
• Your Future: Income Protection Insurance & Salary Continuance
• Work/Life Balance: Generous Bereavement & Compassionate leave
• Your Wellbeing: Private Health Insurance discount, Primary & Secondary Paid Parental leave, Death & TPD Insurance
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customized, including SS&C University
• Extra Perks: Discounts on fitness clubs, travel and more!

What You Will Get to Do:

As part of the Global Investor and Distribution Solutions (GIDS) APAC Data Platform team, you will play a key role to lead the design, development, and optimisation of our enterprise data platform. This role is pivotal in shaping our data platform strategy, ensuring scalability, reliability, and performance across our data ecosystem.

• Architect and lead the development of scalable, secure, and high-performance data platforms
• Own the design and implementation the Data platform using modern data stack technologies including but not limited to:
• Event-driven and batch data-based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)
• Data visualisation & reporting (e.g. SSRS, Pentaho, Data Lens)
• Data governance (e.g. DataHub)
• Collaborate with data architect, analysts, and engineers to deliver robust data solutions
• Champion automations by using tools like Terraform, CloudFormation, and CI/CD pipelines
• Ensure data quality, governance, and compliance across all data systems
• Mentor and guide junior engineers and contribute to a culture of technical excellence
• Evaluate and integrate emerging technologies to enhance platform capabilities
• Lead incident response and root cause analysis for data platform issues

What You Will Bring:

• Bachelor’s degree in computer engineering, Computer Science, Information Systems, or a related field
• 10+ years of experience in a data engineering related role for senior-level candidates
• Excellent English communication skills, both written and verbal
• Proficiency in modern data platform engineering
• Hands-on experience with end-to-end data platform engineering design and implementation
• Experience with automation across engineering
• Familiarity with modern data platform technology stack with open source tools preferred
• Experience with GitHub, PR process, CI/CD pipeline, and code/release management
• Proficiency in public and private cloud, AWS, Kubernetes, Docker
• Expert in streaming technologies and ETL/ELT data pipelines (e.g. Debezium CDC, Kafka, Flink, Spark, NiFi, etc.)
• Expert database technologies and data lake storage (e.g. MSSQL, Postgres, Iceberg, etc.)
• Expert in Data analytics and reporting (e.g. SSRS, Pentaho, Data Lens, Trino, etc.)
• Expert in Data Governance by using tools like DataHub
• Proficiency in at least one programming language, preferably Python and Java
• Knowledge of AI/MCP is an advantage but optional

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.