Senior Data Engineer - Lakehouse & Migration Expert

Aroha Technologies, Inc; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Aroha Technologies, Inc in Houston, Texas is seeking a Data Engineer to lead transactional database engineering, SQL Server assessment, and PostgreSQL/Aurora migration.

You will contribute to data modeling, database modernization, and domain-oriented architecture with API-based data access and event-driven integration.

The ideal candidate has 5–9 years of experience with Databricks, Amazon S3 Buckets, and DevOps, and has worked in regulated data environments such as energy or financial services.

Qualifications

• Experience with Databricks, Amazon S3, medallion or lakehouse patterns, data catalogs, and analytical data products.
• Familiarity with CI/CD, Terraform, database DevOps, automated schema validation, and controlled release practices.
• Knowledge of domain-oriented architecture, API-based data access, event-driven integration, data contracts, and patterns for separating transactional, integration, and analytical data concerns.
• Experience in energy, trading, retail, financial services, or another data-intensive regulated environment.

Responsibilities

• Apply knowledge of domain-oriented architecture, API-based data access, event-driven integration, data contracts, and patterns for separating transactional, integration, and analytical data concerns.
• Leverage experience in energy, trading, retail, financial services, or another data-intensive regulated environment.

Skills

Databricks

Amazon S3 Buckets

DevOps

Tools

CI/CD

Terraform

Automated Schema Validation

Event-Driven Integration

Data Catalogs

Medallion/Lakehouse Patterns

API-Based Data Access

Data Contracts

Job description

Aroha Technologies, Inc in Houston, Texas is seeking a Data Engineer to lead transactional database engineering, SQL Server assessment, and PostgreSQL/Aurora migration.

You will contribute to data modeling, database modernization, and domain-oriented architecture with API-based data access and event-driven integration.

The ideal candidate has 5–9 years of experience with Databricks, Amazon S3 Buckets, and DevOps, and has worked in regulated data environments such as energy or financial services.