Design and own end-to-end, scalable enterprise data architectures, including:
Data Lake
Data Mesh
Medallion (Bronze / Silver / Gold) architectures
Align data architecture decisions with long-term business goals and AI strategy
Select, evaluate, and standardize the enterprise data technology stack, including:
Cloud-native data services
Snowflake enterprise data warehouse
Databricks analytical data lake platforms
Pipeline & Infrastructure Development
Build, manage, and optimize complex ETL / ELT pipelines using tools such as:
Apache Airflow
Azure Data Factory
AWS Glue
Informatica
Design and implement real-time and near-real-time data pipelines using:
Apache Kafka
Spark Structured Streaming
Establish standardized data ingestion and transformation pipelines across enterprise systems
Ensure high-quality, timely availability of data for analytics, advanced analytics, and AI use cases
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time