SS&C

Financial Services

LeadDataEngineer

$2000–3500k ~AI est. Bangkok, Thailand FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer at SS&C. Skills: Data platform design, Data engineering, Cloud technologies, Streaming data. Contribute to architecture and design. Lead design and implementation”

Industry & Context.

Financial Services
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5+ years data platform experience, Expert in GitHub, Expert in Automation, Expert in Code/Release management, Expert in Private/Public Cloud, Expert in Docker/Kubernetes, Expert in Streaming technologies, Expert in ETL/ELT data pipeline build, Expert in Databases, Expert in data analytics, Expert in reporting, Expert in Verbal and Written Communications, Expert in Software Development Life Cycle, Expert in Governance, Proficient in JIRA, Proficient in Confluence, Proficient in Python, Proficient in Java, Proficient in .Net

Nice to Have

Hands on experience with AI, Hands on experience with LLM, Experience with geographically distributed teams, Experience working in a matrixed organisation

What You'll Do.

Contribute to architecture and design

Lead design and implementation

Collaborate with data architect

Collaborate with principal engineer

Collaborate with analysts

Collaborate with engineers

Lead implementation of automations

Ensure data platform reliability

Ensure data platform performance

Ensure data platform security

Mentor junior engineers

Guide junior engineers

Contribute to technical excellence culture

Evaluate emerging technologies

Integrate emerging technologies

Lead incident response

Lead root cause analysis

How You'll Work.

Team & Collaboration

Geographically distributed teams; Matrixed organisation; Internal and external teams; Cross-functional teams

Communication Scope

Verbal communications; Written communications; Effective communication

Process & Methodology

Software Development Life Cycle, Code/Release management, CI/CD pipelines

Full Job Description

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 Description_** Reports to: Capability Director – Data Engineering **Opportunity 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.

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