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Senior Data Architect

Washington, DC, US • Posted 1 day ago • Updated 10 hours ago

Full Time

On-site

Depends on Experience

Fitment

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Job Details

Skills

Accessibility
Computer Science
Information Technology
SQL
RDBMS
PostgreSQL
Microsoft SQL Server
MySQL
Python
R
Scripting
Distributed Computing
Data Storage
Migration
Linux
Version Control
GitLab
GitHub
Information Architecture
Communication
Customer Service
Conflict Resolution
Problem Solving
Data Integration
Orchestration
Apache Airflow
Step-Functions
Unstructured Data
Data Lake
Software Engineering
Development Testing
Root Cause Analysis
Business Process
Time Series
Analytical Skill
Forecasting
NoSQL
Graph Databases
Training
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Data Warehouse
Change Data Capture
Continuous Integration
Continuous Delivery
Java
Scala
JavaScript
Perl
Business Rules
Data Management
Extract
Transform
Load
ELT
Workflow
Data Engineering
Data Processing
Sourcing
Database
Backup
Recovery
Security Controls
Documentation
Data Structure
Data Flow
Meta-data Management
Collaboration
Research
Analytics
Visualization
Data Quality
Process Improvement
Optimization
Data Architecture

Summary

Project Description :
We are seeking a Senior Data Architect that will design, develop, and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking. This program transforms legacy and proprietary databases and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work.

Qualification Requirements :

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field with at least 7 years of related experience; advanced degree preferred
Advanced working knowledge of SQL and experience with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL
Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics
Experience working with large-scale data systems including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads
Experience migrating workflows and data pipelines between on-premises and cloud environments
Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub
Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels
Excellent oral and written communication skills with a strong customer service orientation
Exceptional analytical, problem-solving, and troubleshooting skills

Skills Requirements :

Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines
Experience building, optimizing, and maintaining scalable databases, data pipelines, and data processing frameworks
Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions
Experience processing, analyzing, and integrating structured and unstructured data sources
In-depth experience designing and implementing database, data lake, and enterprise data platform solutions
Strong hands-on software engineering experience including development, testing, and deployment of data applications and services
Experience performing root cause analysis on internal and external data and business processes

Desirable Additional Skills:

Understanding of time series data and related analytical and forecasting techniques
Experience with NoSQL and graph database technologies
Experience developing, training, deploying, and maintaining machine learning models
Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake
Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies
Experience implementing and maintaining CI/CD pipelines and DataOps platforms
Working knowledge of Java, Scala, JavaScript, or Perl

Responsibilities :

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules impacting data management
Review and optimize existing data models and architectures
Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms
Architect and implement ETL/ELT workflows using modern data engineering tools for large-scale economic data processing
Create data solution designs for policy and research projects, including conceptual models, integration models, and sourcing strategies
Define specifications and implement database structures including logical/physical data models, backup/recovery procedures, and access security controls
Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata
Collaborate with research and business teams to improve data models and processes supporting analytics and visualization tools
Implement processes and systems to monitor data quality, ensuring accurate and reliable production data
Identify and implement internal process improvements including automation, optimization, and infrastructure redesign
Participate in the development of future-state data architecture standards, guidelines, and principles

Job ID : 1549

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10301578
Position Id: 1549
Posted 1 day ago

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