Data Architect

5 days ago


Manila, National Capital Region, Philippines Elder Research Full time

Elder Research is a fast-growing consulting firm specializing in predictive analytics.

We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Job Overview

This role supports the Department of Defense's (DoD) Chief Digital and Artificial Intelligence Officer's (CDAO) Mission Analytics / Core Analytics Products, Search Products Portfolio, and Unstructured Data Search Enhanced by AI/ML (UD/SEAM).

The successful candidate will have experience with Big Data systems, including Apache Spark / Databricks, and ETL processes. Additionally, they will be familiar with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0, and have a strong understanding of DoD Security Technical Implementation Guides (STIGs) and automation.

A Bachelor's degree in computer science, computer engineering, Mathematics, statistics, data science or field directly related to the position plus 5-7 years experience, or a Master's Degree plus 3 years of experience is required for this role.

Key Responsibilities
  1. Data Ingestion and Processing: The successful candidate will support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client.
  2. Data Transfer and Security: They will maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities.
  3. Configuration Management and Automation: The candidate will automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services.
  4. Cloud Environment Support: They will apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles.
  5. Client Engagement and Solutions Development: The successful candidate will engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions.


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