Data Solutions Architect (Azure & AWS)

We work with the largest AWS premier partners around North America. Our expert consultants offer support when Amazon cannot solve problems and suggest solutions or implement projects in the AWS environment. Amazon uses us as a consultancy for service provision, including new product development, and we have a team of the world’s best cloud professionals focused on AWS, with ten consultants, among them four Brazilians.
Our team has 200 associates worldwide, including experienced cloud troubleshooting consultants. We are global partners of Azure and Google, covering almost all technologies. Our main purpose is cloud migration, with 95% of projects focused on this, and the other 5% on cloud-to-cloud migration projects.

Responsibilities

We are looking for a Data Solutions Architect with strong experience in public cloud environments (preferably AWS) to lead the design and delivery of modern data architectures. This role involves technical leadership, solution design, hands-on development, and direct interaction with clients to align technical decisions with business goals.

Requirements Technical:

• 5+ years of experience in public cloud environments (AWS preferred).

• 5+ years of developing code using Python, Java, or Scala languages

• Experience building complex data engineering pipelines and ETL/ELT tasks

• Experience with relational databases (for example Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (such as Amazon Aurora)

• Experience with NoSQL databases such as MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable, etc.

• Experience building batch processing and real-time processing systems.

• Experience building Data Warehouses and Data Lakes

• Experience with 3+ of the following:

- Building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming
- Designing and implementing analytics and BI solutions such as MicroStrategy, Tibco, Qlikview, or Tableau
- Building AI/ML solutions, including operations such as ongoing training, optimizations, and model deployments.
- Designing, implementing, training, and optimizing ML and AI models
- Building solutions leveraging caching systems (for example Redis) and object stores (for example Amazon S3, Amazon Glacier, etc.)

• Remote

• PJ

• Full Time