PennsaukenFull TimeData Science
Remotely
awsclouddata engineeringdata platformdatadatabricksdbtapache sparklakehouse
Job Description
📋 Description
- Lead the strategy, development, and execution of the enterprise data platform
- Advance adoption of modern data engineering practices, including Lakehouse architectures, streaming
- Oversee the modernization of legacy data warehouse and BI environments, emphasizing migration to
- Design, scale, and manage data integration and pipeline frameworks
- Operationalize and oversee robust data quality, observability, and lineage programs
- Support the organization's AI and analytics strategy by delivering trustworthy, governed data
🎯 Requirements
- Exemplifies characteristics of The BAYADA Way: compassion, excellence and reliability
- Four (4) year college degree in Computer Science, Information Systems, Engineering or related
- Twenty (20) years of progressive experience leading and transforming data engineering and analytics
- Five (5) years focused on enterprise data platforms, Lakehouse and cloud-native data architectures
- Demonstrated experience in implementing automation in engineering workflows
- Demonstrated automations in multi cloud architecture environments
🎁 Benefits
- Base Salary: $195,000 - $220,000 / year depending on qualifications
- Bonus Opportunity
- Paid holidays, vacation and sick leave
- Vision, dental and medical health plans
- Employer paid life insurance
- 401k with company match
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