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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
Skills:
Technical Architecture, AI Machine Learning, Generative AI LLMs RAG, Data Engineering Data Pipelines, MLOps DevOps, Agile Scrum Delivery, Cloud Platforms Azure AWS GCP, Agentic AI Frameworks
Skills:
Data Modeling, Power Bi, Data Warehousing, Tableau, Data Analytics, azure data platforms
Skills:
Amazon S3, Pyspark, AWS Glue, Quality, Emr, Data Governance, Data Lake, Data Architecture, Sql, Amazon Redshift, Data Warehouse, Python, Cataloging, Security, Lineage, Lake Formation, Lakehouse architecture, Athena
Skills:
Sql, Python, Snowflake Data Warehouse, dbt, Fivetran
Skills:
snowflake , Sql, Databricks, Python, Apache Kafka, Scala, Structured Streaming, AWS Kinesis, Flink