Lead Data Engineer

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, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.Job DescriptionReports to: Capability Director – Data EngineeringOpportunity snapshot:SS&C Bluedoor is going through an exciting period for growth in the APAC region. As the part of this growth, we have a need for a visionary and technically skilled Lead Data Engineer 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.Key accountabilities:Contribute to the architecture and design of scalable, secure, and high-performance data platforms.Lead the design and implementation of the Data platform using modern data stack technologies including but not limited to:oEvent-driven and batch data based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)oData visualisation & reporting (e.g. SSRS, Pentaho, Data Lens)oData governance (e.g. Atlas)Collaborate with data architect, principal engineer, analysts, and other engineers to deliver robust data solutions.Lead the implementation of automations by using tools like Terraform, CloudFormation, and CI/CD pipelines.Ensure data platform reliability, performance, and security.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.Technical Knowledge & Skills: Expert in GitHub, Automation, Code/Release management, Private/Public Cloud, Docker/Kubernetes, Streaming technologies (e.g. Debezium CDC, Kafka, Flink), ETL/ELT data pipeline build, Databases (e.g. MS SQL, Postgres), data analytics and reporting (e.g. SSRS, SQL) Expert in Verbal and Written Communications, Software Development Life Cycle, Automations, Governance Proficient in JIRA, Confluence, Python, Java, .NetQualifications & ExperienceThe following qualifications will be highly regarded:Hands on experience with AI, LLMExperience working with geographically distributed teamsExperience working in a matrixed organisationPersonal Attributes:Technical savvyGrowth mindsetPassionate about continuous improvementCalm and affirmative when solving conflictsAbility to develop strong working relationshipsExcellent communication skills – both written and verbalAbility to stick to time constraintsCommercial and business acumenWhy You Will Love It Here! : Hybrid Work Model and Business Casual Dress Code, including jeans, Centralized location – 6 minutes’ walk from Phromphong BTS or 10 minutes’ walk from Sukhunvit MRTYour Future: Retirement Program, Professional Development Reimbursement Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, Business Leave, Maternity Leave, Ordination LeaveYour Wellbeing: Medical, Dental, Vision, Life Insurance, Annual Health Check Up, Employee Assistance Program, Parental Leave, Well-Stocked Pantry and Provident Fund ContributionDiversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on DiversityHands-On, Team-Customized, including SS&C UniversityPaid further education opportunities for employees who are eligibleExtra Perks: Bonus Scheme, SS&C Stock(s) Allocation for employees who are eligibleWelfare Committee: Discounts on fitness clubs, travel and more!#CA-NWUnless 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.