
Senior Data Architect
2 weeks ago
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations rely on SS&C for expertise, scale, and technology.
Job DescriptionTitle: Senior Data Architect
Location: Melbourne/Sydney, Australia || Hybrid
Get To Know UsSS&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
As part of the Global Investor and Distribution Solutions (GIDS) APAC Data Platform team, you will play a key role responsible for designing and governing the overall architecture of the enterprise data platform. This role ensures that data solutions are scalable, secure, high-performing, and aligned with both technical standards and business goals. The ideal candidate combines deep technical expertise with strong stakeholder collaboration skills.
- Design end-to-end data architecture for data ingestion, processing, storage, and consumption across various use cases.
- Define and enforce data modelling, integration, and architectural standards.
- Collaborate with Principal Engineers, Product Managers, and Delivery Managers to align technical solutions with product and delivery roadmaps.
- Ensure the platform supports enterprise-grade data governance, security, lineage, and cataloguing.
- Provide architectural guidance during development, ensuring code quality and architectural integrity.
- Conduct reviews of system and data designs, contributing to the platform's scalability and maintainability.
- Stay current with modern data technologies, tools, and best practices to guide the platform's evolution.
- 10+ years of experience in data engineering, data architecture, or a similar role.
- Proven experience in designing enterprise data platforms (e.g., cloud data lakes, lakehouses, data mesh) with open source tools preferred.
- Strong knowledge of cloud-native technologies for both private cloud and public cloud (AWS preferred), including storage, compute, and data processing services.
- Proficient in data modelling (relational, dimensional, NoSQL) and big data architectures (e.g., Spark, Kafka, Delta Lake).
- Experience implementing data governance, cataloguing, and security best practices.
- Excellent collaboration and communication skills, with the ability to articulate complex designs to technical and non-technical stakeholders.
- Knowledge of AI/MCP is an advantage but not mandatory.
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.
Thank you for your interest in SS&C If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website at www.ssctech.com/careers.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
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