Highly Skilled Data Platform Architect Wanted

Principal Data Platform Architect

We're seeking a highly skilled and experienced data platform architect to lead the design, development, and optimization of our data ecosystem. This role is ideal for someone who thrives at the intersection of cloud architecture, big data engineering, and enabling AI / ML capabilities at scale.

Your day-to-day will involve :

• Architecting and building scalable data platforms using AWS services such as S3, Glue, Lambda, Redshift, EMR, and CloudWatch.
• Designing and optimizing end-to-end ETL / ELT pipelines using Databricks, PySpark, Python, and SQL to support batch and real-time data workflows.
• Defining, building, and maintaining data models and warehouse structures optimized for analytics and ML workloads.
• Implementing and maintaining CI / CD pipelines for data workflows and ML models using Jenkins, Git, and other DevOps tools.
• Experience building and supporting real-time data pipelines using tools such as Kafka, Kinesis, or Structured Streaming.
• Driving the adoption of DataOps and MLOps best practices, ensuring robust testing, observability, monitoring, and rollback strategies.
• Partnering with machine learning engineers to enable scalable model training, deployment, and monitoring pipelines.
• Establishing and enforcing data quality, governance, security, and cataloging standards.
• Evaluating and recommending new tools and frameworks that enhance the scalability and reliability of the data ecosystem.
• Mentoring junior engineers, promoting engineering excellence, and participating in architectural decision-making.

Required skills and qualifications include :

Benefits of this role include :

This role requires a strong problem-solving and communication skillset, with the ability to lead cross-functional technical discussions and drive results-oriented solutions.

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