Data Architect

  • Washington, DC
  • Posted 1 day ago | Updated 1 day ago

Overview

Hybrid
Depends on Experience
Full Time
10% Travel

Skills

CI/CD pipelines
Rest API
JSON
Scripting
Analytical Skill
Apache Spark
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Analysis
Data Flow
Data Integration
Data Warehouse
Database
DevOps
Disaster Recovery
Distributed Computing
Extract
Transform
Load
GCS
Management
Messaging
Migration
Modeling
Perl
Problem Solving
Python
GitHub
Good Clinical Practice
Google Cloud Platform
High Availability
Legacy Systems
RESTful
Real-time
Regulatory Compliance
Apache Beam
Reliability Engineering
SQL
Scalability
Shell
Soft Skills
Storage
Teamwork
Terraform
Workflow

Job Details

Key Responsibilities
Data Pipeline Development: Design, build, test, and maintain scalable data pipelines and ETL processes using Python and Google Cloud Platform services (e.g., Dataflow, BigQuery, Pub/Sub).
Data Integration & Modeling: Implement batch and real-time data integration workflows, optimize data models and architecture for performance and storage efficiency.
Collaboration & Support: Work with cross-functional teams to gather data requirements and support data analysts with curated datasets and tools.
System Reliability: Monitor, troubleshoot, and tune data systems for high availability, scalability, and disaster recovery.
DevOps Enablement: Build and manage CI/CD pipelines using GitHub and Terraform; ensure security compliance and operational readiness.Mandatory Skills & Qualifications
Technical Expertise:
Strong Python programming and Spark experience for data analytics.
Proficient in Google Cloud Platform services: GCS, Dataflow, Cloud Functions, Composer, Scheduler, Datastream, Pub/Sub, BigQuery, Dataproc.
Skilled in Apache Beam for batch and stream processing.
Experience with REST API ingestion, JSON messaging, and scripting (Shell, Perl).
Deep understanding of SQL, cloud-native databases, and data warehousing concepts.
Engineering & Migration:
Proven experience in migrating legacy systems to modern cloud-based architectures.
Familiarity with distributed computing frameworks and large-scale data handling.
DevOps & Security:
CI/CD pipeline development with GitHub and Terraform.
Security integration in deployment workflows.
Soft Skills:
Strong problem-solving and analytical abilities.
Excellent communication and teamwork skills.

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