Data Architect
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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:
snowflake , Metadata Management, Data Warehousing, Data Architecture, Terraform, Python, AWS, Cloudformation, Apache Spark, Sql, Data Quality, Gcp, Data Governance, Databricks, Azure, Infrastructure as Code, data pipelines, data lakes, Apache Hudi, security frameworks, Iceberg, data modeling principles, cloud-based data platforms, Delta Lake, analytical architectures, real-time data processing
Skills:
Data Modeling, Data Architecture, OLAP, Data Warehousing, Sql, Oltp, Cloud Platforms
Skills:
snowflake , Azure Data, Azure Data Bricks, Solutioning Cloud
Skills:
Devops, Pyspark, Python, Sql, Azure Data Platform, Azure Test Plans
Skills:
Spark SQL, Storm, Flume, Kafka, Impala, Mapreduce, Pig, Apache Nifi, Lambda Architecture, Rabbitmq, Hive, Linux, Big Query, Airflow, Hadoop v2, HDFS, Data Proc, Cloud Composer, data fusion, GCP cloud platforms, dbt, Data Flow
