Oracle DBA

SwankTek Inc.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

SwankTek Inc. in New York is seeking a Geospatial Data Engineer to manage enterprise data platforms built on Delphix and Oracle Database, delivering reliable mapping services across hybrid environments.

You will optimize geospatial data pipelines, tune Oracle configurations, and collaborate with product and engineering teams to define data models, governance, and compliance for mapping solutions.

Qualifications

• Experience with geospatial data and location analytics.
• Strong SQL and database performance tuning skills.
• Familiarity with data governance and compliance principles.

Responsibilities

• Manage enterprise geospatial data platforms using Delphix and Oracle for scalable mapping services.
• Oversee geospatial data integration pipelines ingesting and organizing spatial datasets for analytics.
• Tune Oracle DB configurations for geospatial workloads to reduce latency.
• Collaborate with product and engineering to define geospatial data models, standards, and governance.
• Implement data virtualization and masking strategies for geospatial datasets.

Skills

Geospatial data

Oracle Database

Delphix

Data governance

Tools

Delphix

Oracle Database

Job description

• Manage enterprise geospatial data platforms that rely on Delphix and Oracle Database to deliver consistent and reliable mapping services to internal and external stakeholders, ensuring optimal performance and scalability across hybrid environments.
• Oversee geospatial data integration pipelines that ingest, transform, and organize spatial datasets from various business systems, enabling accurate location analytics that support strategic planning and operational efficiency.
• Drive continuous optimization of Oracle Database configurations for geospatial workloads, tuning queries, indexes, and storage strategies to reduce latency and improve responsiveness for map based applications.
• Coordinate with product and engineering teams to define geospatial data models, standards, and governance practices that ensure data quality, consistency, and regulatory compliance across all mapping solutions.
• Implement robust Delphix data virtualization and masking strategies for geospatial datasets, safeguarding sensitive attributes while allowing agile development and testing of spatial solutions.