This Data Architect role develops datasets that power data visualization, machine learning, and data-driven decision-making, working with structured and unstructured data and automating ingestion pipelines in a hybrid multi-cloud environment using Databricks and Apache Spark.
Responsibilities
- ▹Develop datasets enabling data visualization, machine learning, and data-driven decision making
- ▹Work with structured and unstructured datasets, automating pipelines to ingest, analyze, validate, normalize, and clean data in a hybrid multi-cloud environment
- ▹Build data ingestion pipelines from multiple sources using Databricks and Apache Spark
- ▹Partner with analysts, solution architects, modelers, and developers on data products and pipelines
- ▹Provide technical and thought leadership
Requirements
- ▹Strong T-SQL skills with Snowflake experience
- ▹Familiarity with CI/CD methods
- ▹Significant Python development experience
- ▹High proficiency in PySpark development
- ▹Solid grasp of database engineering and design principles
- ▹Current Databricks Certification
- ▹Experience building stakeholder relationships at all levels, leadership communication, and managing delivery from design to launch
Soft skills
Building stakeholder relationships at all levels, leadership communication
What we offer
- ▹Education assistance / student loan repayment up to $2,400/year
- ▹Remote work allowance and internet reimbursement
- ▹Bench pay, profit share
- ▹Healthcare reimbursement
- ▹401k with 4% match
- ▹Short-term and long-term disability, life insurance
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