Data Cloud Engineer, Salesforce CoE

Great Eastern; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Great Eastern in Singapore is expanding its MarTech and digital ecosystem, leveraging Salesforce Data Cloud to connect data across systems and markets. As Data Cloud Engineer, you will design scalable ingestion and integration pipelines, onboard datasets, and ensure data quality, lineage and security across the enterprise.

This role requires 8+ years in data engineering/integration, strong SQL and data modelling skills, and experience with cloud platforms like AWS, Azure, Snowflake, and

Qualifications

• 8+ years in data engineering or data integration.
• Strong SQL, data modelling and transformation skills.
• Experience with cloud platforms (AWS/Azure/Snowflake/Databricks).
• Experience integrating data into Salesforce Data Cloud or similar platforms.
• Relevant Salesforce/Data Cloud or cloud certifications are a plus.

Responsibilities

• Design integrations between source systems and Salesforce Data Cloud.
• Onboard datasets into Data Cloud across markets and entities.
• Build and maintain ingestion, transformation and refresh components.
• Design reusable integration patterns for multiple entities.
• Monitor pipeline health with alerting, reconciliation and recovery.
• Implement data quality controls and address root causes.
• Maintain data lineage, metadata and integration documentation.
• Assess impact of source-system changes with IT and Data Cloud Architects.
• Optimize ingestion approaches for performance and scale.
• Apply security and data-transfer controls across processes.
• Configure Data Streams, mappings and transformations for use cases.

Skills

SQL & data modelling

Enterprise integration patterns

Cloud data platforms

Education

Degree in a relevant discipline

Tools

Salesforce Data Cloud

MuleSoft

AWS

Azure

Snowflake

Databricks

Informatica

Job description

Great Eastern is expanding how customer data is connected and activated across its MarTech and digital ecosystem, drawing on data from multiple systems, businesses and markets. Salesforce Data Cloud is an important part of this environment, where the reliability, quality and timeliness of data directly influence what downstream customer engagement, analytics and activation capabilities can deliver.

As Data Cloud Engineer, you will engineer the data foundations that make these capabilities work. You will connect Salesforce Data Cloud with the systems and data it depends on, building reliable, scalable and reusable ingestion and integration solutions across markets and entities. The role combines strong data engineering with enterprise integration in a complex and evolving Salesforce data environment.

Key Responsibilities

• Design and implement integrations between source systems and Salesforce Data Cloud using appropriate API, event-driven, batch and file-based patterns within enterprise architecture and integration standards.
• Onboard customer, prospect, policy, claims, consent, digital, engagement and other approved datasets into Data Cloud.
• Build and maintain Data Cloud ingestion, transformation and synchronisation components and associated refresh schedules, working with enterprise data teams where upstream pipelines sit outside the Salesforce CoE.
• Design integration patterns and engineering components for reuse across entities, while accommodating legitimate differences in source systems, data structures and local technology environments.
• Monitor pipeline health and implement alerting, reconciliation and recovery mechanisms to maintain reliable data flows.
• Implement data quality controls covering completeness, accuracy, consistency and timeliness and address the root causes of recurring issues.
• Maintain data lineage, metadata and integration documentation so data movement and transformations remain traceable and auditable.
• Assess the impact of source-system and platform changes, working closely with Group IT, Group Data & AI, source-system owners and the Data Cloud Architects.
• Optimise ingestion approaches, processing frequency and data volumes to maintain platform performance and efficient Data Cloud consumption.
• Apply appropriate security, access and data-transfer controls across integration and ingestion processes.
• Configure Data Streams, DLO-to-DMO mappings, transformations and other Data Cloud components required to implement approved use cases.

We are looking for people who

• Have built and operated enterprise data integrations and pipelines at scale across multiple systems, business entities or markets.
• Are strong in SQL, data modelling and transformation and comfortable with API, event-driven, batch and other enterprise integration patterns.
• Have experience with cloud data platforms and integration technologies such as AWS, Azure, Snowflake, Databricks, Informatica, MuleSoft or comparable technologies.
• Have integrated data into Salesforce Data Cloud, Salesforce or another enterprise customer data platform and understand the ingestion and data-structure requirements involved.
• Are rigorous about data quality, lineage and reconciliation and can trace issues across multiple systems to their source.
• Apply strong engineering discipline across monitoring, resilience, security, access controls and maintainability.
• Can work effectively with architects, platform specialists, enterprise technology teams and vendors and explain technical issues clearly to non-technical stakeholders.
• Have 8 or more years of relevant experience in data engineering, data integration or related disciplines, and hold a degree in a relevant discipline.
• Relevant Salesforce Data Cloud, MuleSoft, Salesforce integration or cloud certifications, and experience in insurance, banking or another regulated industry, will be advantageous.

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.