Data Architect

We are looking for Data Architect (AWS + Python) for our client from US.
Requirements:
3+ years experience as a Data Solutions Architect, previous experience as a Data Engineer

designing data platforms on AWS from scrath,
6 years experience in IT (specializing in Data Engineering)
proficiency in Python
designing and implementing Redshift, Aurora, S3, Lambda, Kafka and other data related services
construcing MDM solutions.
experience with Snowflake and DBT
working with relational and non-relational databases, data warehouses, ETL/ELT processes and data management tools.

3+ years experience as a Data Solutions Architect, previous experience as a Data Engineer

designing data platforms on AWS from scrath,
6 years experience in IT (specializing in Data Engineering)
proficiency in Python
designing and implementing Redshift, Aurora, S3, Lambda, Kafka and other data related services
construcing MDM solutions.
experience with Snowflake and DBT
working with relational and non-relational databases, data warehouses, ETL/ELT processes and data management tools.
We are looking for Data Architect (AWS + Python) for our client from US.
Requirements:
3+ years experience as a Data Solutions Architect, previous experience as a Data Engineer

designing data platforms on AWS from scrath,
6 years experience in IT (specializing in Data Engineering)
proficiency in Python
designing and implementing Redshift, Aurora, S3, Lambda, Kafka and other data related services
construcing MDM solutions.
experience with Snowflake and DBT
working with relational and non-relational databases, data warehouses, ETL/ELT processes and data management tools.
,[Designing end-to-end data architectures from scratch, Creating data models, data flows, and data integration strategies, Implementing data solutions with best practices and industry standards, Providing mentorship and guidance to data engineers to bridge any process gaps between data architecture and detailed engineering procedures, Documenting and systematizing architecture standards using established techniques such as Confluence, Erwin or equivalent methodologies, Collaborating with data scientists and analysts, Providing strategic recommendations and guidance on data-related initiatives] Requirements: Python, AWS, Redshift, Aurora, Glue, Lake Formation, S3, Lambda, Data engineering, Apache Aurora, AWS S3, AWS Lambda, Kinesis, Kafka, MDM, Snowflake, dbt, Relational database, ETL, Data management Additionally: Training budget, Private healthcare, Lunch card, Small teams, Masterclazz training, International projects, Sport subscription.