Apply Now

Senior Data Architect

Washington, DC, US • Posted 14 hours ago • Updated 12 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

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

Summary

Project Description :

We are seeking an experienced, detail-oriented Data Architect/Engineer to design, develop, and implement modern data infrastructure and analytical capabilities that enhance economic forecasting and policymaking at a large, highly regulated federal financial institution. 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.

The ideal candidate is a hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The right candidate will be excited by the prospect of optimizing or re-designing an enterprise data architecture to support the next generation of data initiatives.

ship is required for this position.

Qualification Requirements :

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field; advanced degree preferred
At least 7 years of related data architecture/engineering experience
Advanced working knowledge of SQL and relational database platforms (PostgreSQL, Microsoft SQL Server, MySQL)
Advanced working knowledge of Python, R, and other scripting languages for data engineering and analytics
Experience with large-scale data systems including distributed computing, scalable data processing, and high-volume data workload optimization
Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines
Experience with workflow orchestration tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions
Experience migrating workflows and data pipelines between on-premises and cloud environments
Experience developing in Linux environments and using source control platforms (GitLab, GitHub)
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
Excellent oral and written communication skills with a strong customer service orientation
Exceptional analytical, problem-solving, and troubleshooting skills
Understanding of time series data and related analytical and forecasting techniques (preferred)
Experience working in a research environment and/or with economic or financial data (preferred)
Experience with NoSQL and graph database technologies (preferred)
Experience developing, training, deploying, and maintaining machine learning models (preferred)
Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake (preferred)
Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies (preferred)
Experience implementing and maintaining CI/CD pipelines and DataOps platforms (preferred)
Working knowledge of additional programming languages such as Java, Scala, JavaScript, or Perl (preferred)

Skills Requirements :

SQL & relational databases (PostgreSQL, Microsoft SQL Server, MySQL)
Python, R & scripting languages (Java, Scala, JavaScript, Perl)
ETL/ELT workflow design, development & automation
Workflow orchestration (Apache Airflow, Prefect, Dagster, AWS Step Functions)
Distributed computing & large-scale data processing architecture
Data lake & enterprise data platform design and implementation
NoSQL & graph database technologies
Cloud platforms (AWS, Microsoft Azure, Snowflake)
Change Data Capture (CDC) & data warehouse implementation
CI/CD pipelines & DataOps platforms
Machine learning model development, training & deployment
Time series data analysis & forecasting
Source control (GitLab, GitHub) & Linux development environments
Structured & unstructured data processing and integration
Enterprise information architecture (conceptual, logical & physical levels)
Data quality monitoring & governance
Logical & physical data modeling, data dictionaries & technical metadata documentation

Responsibilities :

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules impacting data management
Review and analyze existing data models and processes to optimize and modernize current data 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 and frameworks to support large-scale economic data processing
Create data solution designs for economic policy and research projects including conceptual models, integration models, and sourcing strategies
Translate division and section requirements into long-term information architecture solutions
Define specifications and implement database structures including logical and physical data models, backup and 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 production data is accurate, reliable, and available
Identify and implement internal process improvements including automation of manual processes and optimization of data delivery
Migrate workflows and data pipelines between on-premises and cloud environments
Participate in the development of future-state data architecture standards, guidelines, and principles

Job ID : 1568

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: 1568
Posted 14 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior IT Data Engineer

Washington, District of Columbia

•

Today

Project Description : We are seeking an experienced, detail-oriented Data Architect/Engineer to expand and optimize data and data pipeline architecture, as well as optimize data flow and collection for economic policy and research teams at a large, highly regulated federal financial institution. The ideal candidate is a hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or

Easy Apply

Full-time

Senior IT Big Data Developer

Washington, District of Columbia

•

Today

Easy Apply

Full-time

Senior Data Architect

Washington, District of Columbia

•

4d ago

Job Title: Sr. Data Architect Location: Onsite (Some allowance for situational telework if needed.)|Washington, DC Local DMV Only Duration: 12+ months Interview Mode: May ask for in person interview Job Description: PROJECT DESCRIPTION: Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fra

Easy Apply

Contract

Senior Data Architect

Washington, District of Columbia

•

Yesterday

Project description: Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The 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 ec

Easy Apply

Contract

Depends on Experience

Search all similar jobs

More jobs at Bryant Technologies, Inc in Washington, DC