Data Architect
Posted on 2/10/2024
STORD

201-500 employees

Fulfillment, warehousing, and freight for B2C and B2B
Company Overview
Stord's mission is to make your supply chain a competitive advantage.
Industrial & Manufacturing
Data & Analytics

Company Stage

Series D

Total Funding

$325.2M

Founded

2015

Headquarters

Atlanta, Georgia

Growth & Insights
Headcount

6 month growth

5%

1 year growth

-7%

2 year growth

12%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
SQL
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related STEM field
  • 10+ years of full-time experience in database design, architecture, and engineering
  • Experience with OLTP and OLAP databases
  • Experience with cloud architecture
  • Working knowledge of ETL, both with custom builds and pre-built tools
  • Experience with and working knowledge of event streaming
  • Extensive experience with owning and building data pipelines
  • Experience with both batch updates and real-time data, with ability to recommend strategic approaches to both
  • Experience working with a data team and an in-depth understanding of data needs for MLOps/AI
  • Communication skills and critical thinking skills to identify areas for improvement and lead change
Responsibilities
  • Standardize software development database architecture across multiple enterprise systems by setting and maintaining a standard
  • Drive and own schema design, code review, SQL query tuning
  • Develop and implement a data strategy aligned with business objectives
  • Collaborate with stakeholders to understand business requirements and define data architecture principles and standards
  • Create a roadmap for the evolution of the data architecture over time
  • Design and oversee the implementation of data warehouses
  • Work with business intelligence teams to ensure data availability for reporting and analytics
  • Optimize data structures to support efficient querying and reporting
  • Design and develop conceptual, logical, and physical data models
  • Define data entities, relationships, and attributes to represent business concepts accurately
  • Ensure data models adhere to industry best practices and standards
  • Influence the selection of appropriate database technologies based on project requirements and ensure high availability
  • Define database structures, tables, and indexes to optimize data storage and retrieval
  • Oversee database performance tuning and optimization
  • Identify areas of improvement, and implement optimization of databases to ensure optimal performance and cost efficiency
  • Recommend and coordinate upgrades for existing database systems and ensure disaster recovery
  • Design and implement data integration solutions to facilitate the flow of data across systems
  • Define data mapping, transformation, and cleansing processes
  • Ensure data consistency and integrity during integration
  • Build and own data pipelines of enterprise software
  • Establish and enforce data security policies and access controls
  • Implement encryption, authentication, and authorization mechanisms to safeguard sensitive data
  • Ensure compliance with security policies, own obfuscation protocols and protect database infrastructure and assets
  • Define and implement data governance policies, procedures, and standards
  • Establish data quality frameworks and monitoring processes
  • Facilitate data stewardship and ownership initiatives
  • Improve data architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements
  • Evaluate and recommend new tools and technologies that align with organizational needs
  • Drive the adoption of modern data management practices
  • Collaborate with cross-functional teams, including developers, analysts, and business stakeholders
  • Communicate data architecture decisions and recommendations to technical and non-technical audiences
  • Facilitate discussions to resolve data-related issues and align on solutions
  • Be available for on-call support as needed
Desired Qualifications
  • Graduate-level degree in Computer Science, Engineering, Information Technology, or a related STEM field
  • Prior start-up experience
  • Supply chain experience
  • Working knowledge of data science and machine learning models