Senior Data Architect (AWS, Azure, GCP)
Tasks
- Assess and advocate data management technologies and practices
- Communicate value to non technical executives
- Deliver data integration plans
- Drive innovative solutions using emerging trends
- Ensure solutions align with business goals
- Formulate architectural trade-offs
- Improve data quality and data delivery
- Lead design and implementation teams
- Partner with business development to propose solutions and plans
- Provide data and analytics practice area leadership
- Provide executive stakeholder insights
- Share project outcomes to improve delivery
Perks/Benefits
- 1 to 1 care
- 401k matching
- Certification support
- Disability insurance
- Employee resource groups
- Health coverage
- Mental health support
- Mentorship
- Paid family leave
- Paid time off
- Remote work flexibility
- Tuition support
- Work-life balance
Skills/Tech-stack
AWS | Amazon DynamoDB | Amazon Kinesis | Apache Airflow | Apache Kafka | Azure | Azure Cosmos | Azure Cosmos DB | Cloud Dataflow | Cloud platform | Cosmos DB | Data Architecture | Data Governance | Data Management | Data Privacy | Data Quality | Data Security | Data integration | Databricks | Google Cloud | Google Cloud Dataflow | Google Cloud Platform | HBase | Master Data | Master Data Management | MongoDB | NoSQL | Python | Relational modeling | SQL | Snowflake
Education
N/A
Roles
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