1. Experience in designing Data / Data Platform Architecture (Understanding of data modeling, database design, and ETL processes / Familiarity with both relational and NoSQL databases)

2. (Nice to have) Cloud Platforms experience (Preferrably Azure)

3. Experience on Big Data technologies (e.g Hadoop, Spark, Kafka) , and / or data warehousing solutions (e.g Snowflake, Redshift, BigQuery)

4. Have understanding the data Governance and security concept. Providing role / access control guidance to data platform with data security team

5. Programming language, have expereince on data manipulation and analysis using SQL / Python / R / or Scala

Responsibilities:

• Define and evolve the architecture of the enterprise data platform, including data lakes, warehouses, and real-time processing layers.

• Translate business requirements into data platform capabilities, ensuring alignment with enterprise data strategy and governance.

• Evaluate and recommend tools and cloud services for data ingestion, storage, processing, and orchestration.

• Design data platforms with built-in security, privacy, and compliance controls.

• Ensure high availability, fault tolerance, and scalability of the platform to support growing data volumes.

• Lead the end-to-end delivery of data platform components, including ingestion pipelines and transformation logic.

• Guide data engineers, architects, and DevOps teams in implementing platform features and resolving technical challenges.

• Establish and maintain automated deployment pipelines using tools like Terraform and GitHub Actions.

• Implement observability tools to monitor platform health, performance, and cost efficiency.

• Act as the primary liaison between data engineering, analytics, infrastructure, and business teams to meet user needs.

• Oversee health checks, performance monitoring, and capacity planning for data platforms.

• Lead root cause analysis and resolution of platform-related issues, including data pipeline failures.

• Define and enforce support procedures, escalation paths, and SLAs for operations.

• Act as a point of contact for data consumers and engineering teams to resolve platform-related queries.

• Maintain operational documentation, including runbooks and platform configurations.

• Ensure accuracy, completeness, and consistency of data across integrated systems.

• Track and manage defects found during testing, coordinating with engineering teams for resolution.

• Monitor integration processes for smooth operation and data flow.

• Perform regular maintenance tasks, such as updating configurations and optimizing performance.

• Collaborate with maintenance teams to ensure stability and reliability of integration environments.

Requirements :

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• Over 8 years of experience in designing and implementing data solutions for complex financial systems, focusing on Microsoft Azure, with minimum 6 years of experience in integration design, build, test, and deployment phases, preferably in financial services.

• Proven track record in building scalable data platforms using cloud technologies (Azure, AWS, GCP).

• Hands-on experience in designing data models and implementing data governance frameworks.

• Experience selecting and integrating tools like Azure Synapse, Databricks, Snowflake, or BigQuery.

• Demonstrated success in leading data platform delivery from concept to production.

• Experience managing cross-functional teams and collaborating with business stakeholders.

• Experience implementing automated deployment pipelines using tools like Terraform and Azure DevOps.

• Experience setting up observability frameworks for platform health and performance.

Preferred Skills :

• Relevant Oracle Integration Cloud or Oracle Fusion certifications.