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Role: Data and AI Architect
Key Skills to Succeed in this role
Strong hands-on background in data engineering, analytics, or data science.
Expertise in building data platforms using:
o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,
Dataflow).
o Compute: Spark, Databricks, Flink.
o Data modelling: dimensional, relational, NoSQL, graph.
Proficiency with Python, SQL, and data pipeline orchestration tools.
Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.
Experience implementing MLOps, model deployment, monitoring, logging, and versioning.
Preferred Qualifications
8+ years of experience in data engineering, data science, or architecture roles.
Experience designing enterprise-grade AI platforms.
Certification in major cloud platforms (AWS/Azure/GCP).
Experience with governance tooling (Collibra, Alation) and lineage systems
Job ID: 136586841