Data Solution Architect

Requirements:

• 10+ years as a hands-on solutions architect and/or data engineer designing and implementing data solutions.
• Team lead and/or mentorship of other engineers.
• Ability to develop end-to-end technical solutions into production and to help ensure performance, security, scalability, and robust data integration.
• Programming expertise in Java, Python, and/or Scala.
• Core cloud data platforms, including Snowflake, AWS, Azure, Databricks, and GCP.
• SQL and the ability to write, debug, and optimize SQL queries.
• Client-facing written and verbal communication skills and experience.
• Create and deliver detailed presentations.
• Detailed solution documentation (e. g., including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc. ).
• 4-year bachelor's degree in computer science or a related field.

Prefer any of the following:

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, and Databricks.
• Cloud and Distributed Data Storage: S3 ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
• Data integration technologies: Spark, Kafka, event/streaming, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Service, Azure Data Factory, Informatica Intelligent Cloud Services (IICS), Google Dataproc, or other data integration technologies.
• Multiple data sources (e. g., queues, relational databases, files, search, API).
• Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment.
• Automated data transformation and data curation: dbt, Spark, Spark Streaming, and automated pipelines.
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi.