Data Engineering Manager
Akaasa Technologies
Houston, TX, United States
8 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Architectural Patterns
Cloud Engineering
Data Architecture
Information Engineering
Data Governance
Data Integration
Extract Transform Load (ETL)
Operational Data Store
Cloud Services
Data Mesh
Data Streaming
Azure Data Factory
+7 more
Snowflake
Data Strategy
Event Driven Architecture
AWS Data Analytics
Data Management
Cloud Migration
Databricks
Job description
We are seeking an experienced Data Engineering Manager to lead enterprise data architecture, data engineering, cloud modernization, and integration initiatives. The ideal candidate will have strong experience designing modern cloud data platforms and Lakehouse architectures, along with proven leadership experience across enterprise data strategy, governance, integration, and data products. Must have industry experience in Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
Requirements
- Mandatory industry experience: Energy, Oil & Gas, Commodity Trading, Utilities, or Capital Markets.
- Strong experience in data architecture, data engineering, enterprise architecture, or technical leadership.
- Expertise in modern Data Product and Data Mesh concepts.
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Experience designing and implementing cloud-native data platforms using:
- Databricks
- Azure Data Platform Services
- AWS Data Services
- Snowflake - preferred
- Strong experience with Lakehouse architecture, data modeling, ETL/ELT, data integration, and data governance.
- Familiarity with real-time, streaming, and event-driven architecture.
- Experience supporting trading, risk, scheduling, settlements, market operations, or other complex financial/operational data workflows.
- Experience establishing architecture governance boards, enterprise standards, and reusable architecture patterns.
- Strong communication, stakeholder management, and leadership skills.
- Cloud architecture and/or Databricks certifications are preferred.
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