Required Experience :

- 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, 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 Services, Azure DataFactory, 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, automated pipelines

- Workflow Management and Orchestration : Airflow, AWS Managed Airflow, Luigi, NiFi