Data Architect | Principal or Lead | Enterprise & AI

About Company

I am currently partnering with a highly successful technology enterprise that focuses on building robust, scalable data ecosystems and advanced artificial intelligence capabilities to drive critical business decisions.

About Job

• Architect and evolve a massive, petabyte-scale enterprise data foundation utilizing modern data warehouse and lakehouse paradigms.

• Establish and enforce comprehensive data modeling standards, building detailed entity-relationship models and lineage maps to ensure total data flow transparency.

• Design highly scalable, low-latency infrastructure capable of seamlessly handling both real-time streaming and large-scale batch data ingestion.

• Evaluate, select, and integrate high-performing analytics and MLOps platforms to support the continuous deployment of machine learning applications.

• Implement robust enterprise-wide data governance frameworks, focusing on metadata management, encryption, and strict access controls.

• Drive continuous technical innovation by leading proof-of-concepts for emerging architectural structures like data mesh and data fabric.

Skills and Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a relevant technical discipline.

• 10+ years of extensive experience in data architecture and large-scale infrastructure, ideally within high-volume industries like e-commerce or fintech.

• Deep architectural expertise within the AWS cloud ecosystem, heavily utilizing core services such as Redshift, Glue, S3, EMR, IAM, and SageMaker.

• Advanced proficiency in SQL and Python, paired with comprehensive knowledge of big data frameworks and orchestrators including Spark, Hadoop, dbt, and Airflow.

• Proven track record of designing cost-efficient ETL/ELT automation workflows, real-time processing systems, and scalable MLOps pipelines.

• Hands-on experience enforcing strict data security protocols, masking techniques, and regional governance compliance requirements like PDPA or GDPR.

  To apply online please use the 'apply' function, alternatively you may contact Evangeline.

  (EA: 94C3609/ R24124002 )