Talend Architect at Unison Group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

06 Aug, 26

Salary

0.0

Posted On

08 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Talend Data Integration, Talend Cloud, Talend Big Data, ETL/ELT Frameworks, Kafka, Spark Streaming, REST/SOAP APIs, Hadoop, Data Quality, Data Governance, CI/CD, Oracle, SQL Server, AWS, Azure, GCP

Industry

Business Consulting and Services

Description

Key Responsibilities Architecture & Design Architect end-to-end data integration solutions using Talend Data Integration, Talend Cloud, Talend Big Data, and related components Design ETL/ELT frameworks, data ingestion pipelines, workflow orchestration, and reusable Talend components Define architecture blueprints, HLD/LLD documentation, and integration patterns Lead modernization efforts including migration from legacy ETL tools to Talend Justify and recommend system sizing — hardware, memory, compute, cluster configurations — based on data volumes, throughput requirements, and SLA expectations Development & Technical Leadership Strong hands-on development background with ability to build, review, and optimize complex Talend jobs across batch, real-time, and streaming workloads Build and optimize ETL/ELT pipelines integrating diverse data sources — databases, APIs, flat files, cloud platforms, and streaming systems Design and implement data integration via REST/SOAP APIs, HTTP connectors, and data services routes within Talend Implement complex transformations, data quality rules, profiling, cleansing, deduplication, metadata management, and lineage Leverage Talend Big Data components to process large-scale datasets on Hadoop, Spark, or cloud-native big data platforms Work across relational databases (Oracle, SQL Server, MySQL, PostgreSQL) and cloud storage solutions Provide hands-on guidance to development teams on Talend jobs, best practices, error handling, logging, and scalability Conduct architecture reviews, performance tuning, and optimization of Talend workloads Streaming & Real-Time Integration Design and implement real-time and near-real-time data pipelines using Talend with Kafka, Spark Streaming, or equivalent streaming frameworks Architect event-driven integration patterns for high-throughput, low-latency data flows Monitor and tune streaming pipelines for performance, fault tolerance, and reliability Data Quality & Governance Define and enforce data quality frameworks — profiling, validation rules, anomaly detection, and exception handling — within Talend pipelines Ensure alignment with enterprise data governance, security, compliance, and data lineage requirements Operations & DevOps Oversee deployment, scheduling, monitoring, and maintenance of Talend jobs Collaborate with DevOps teams to design CI/CD pipelines for Talend solutions Troubleshoot production issues and ensure high availability and reliability of ETL workflows Required Skills & Experience 10+ years of overall data integration/ETL experience, with at least 4–5 years as a Talend architect or senior developer Strong hands-on development expertise in Talend Data Integration, Talend Cloud, Talend Big Data, and Talend Administration Center — must be able to build, not just design Proven experience designing HLD/LLD and integration architecture patterns Demonstrated ability to size and justify infrastructure and platform configurations based on workload profiling and capacity planning Hands-on experience with streaming technologies — Kafka, Spark Streaming, or equivalent — integrated within Talend pipelines Experience designing and consuming REST/SOAP APIs, HTTP-based connectors, and Talend Data Services for service-oriented integration patterns Strong expertise in data quality implementation — profiling, cleansing, validation, deduplication, and exception management within Talend Proficiency with Talend Big Data components and processing at scale on Hadoop, Spark, or cloud-native equivalents Experience with legacy ETL migration projects (Informatica, DataStage, SSIS to Talend preferred) Proficiency with relational databases (Oracle, SQL Server, MySQL, PostgreSQL) and cloud platforms (AWS, Azure, or GCP) Knowledge of CI/CD practices, Git-based version control, and DevOps tooling (Jenkins, GitLab CI, etc.) Understanding of data governance frameworks, metadata management, and lineage concepts Good to Have Talend certification (Architect or Developer level) Exposure to cloud-native data platforms (Databricks, Snowflake, Redshift, BigQuery) Familiarity with enterprise data cataloguing and governance platforms (Collibra, Alation, etc.) Experience with containerised deployments (Docker, Kubernetes) for Talend workloads

Responsibilities

Architect and design end-to-end data integration solutions using Talend, including the creation of ETL/ELT frameworks and data ingestion pipelines. Lead the modernization of legacy systems and provide technical leadership for complex batch and real-time streaming workloads.