Enterprise Cloud Data Architect

6 days ago

rajahmundry, India beBeeDataEngineer Full time

Cloud Data Architects design and build enterprise data systems using cloud-native technologies. This freelance opportunity is ideal for experienced engineers looking to work on large-scale, long-term projects.Key Responsibilities:Design and implement scalable, reliable data pipelines using cloud-native tools and frameworks.Develop ETL/ELT workflows for structured, semi-structured, and unstructured data.Implement data ingestion, transformation, storage, and processing solutions.Work with cloud services including AWS Glue, Redshift, EMR, Azure Data Factory, Synapse, GCP BigQuery, Dataflow.Build batch and streaming data pipelines using Spark, Databricks, Kafka, or similar technologies.Optimize performance, cost, and reliability of data systems for large-scale deployments.Collaborate with analytics, BI, ML, and backend teams to deliver end-to-end data solutions.Ensure data quality, integrity, governance, and security across data workflows.Support CI/CD pipelines, version control, and automation related to data environments.Minimum Qualifications:Minimum 2 years of hands-on experience as a Cloud Data Architect or equivalent role.Strong experience with Python or SQL (or both).Practical knowledge of data pipeline development using Spark, PySpark, or equivalent.Hands-on experience with one major cloud platform (AWS, Azure, or GCP).Understanding of data modeling, warehousing concepts, and distributed systems.Experience working with ETL/ELT tools or frameworks.Ability to work independently in a remote, distributed setup.Benefits:Large-scale, cloud-native data engineering projects.Multiple openings with fast-track onboarding.Fully remote with flexible working hours.Long-term freelance roles with consistent project work.Work with modern data stacks, lakehouse architectures, and global teams.

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