Position Details:
Title: Enterprise Data Architect (IT
Architect)
Location:
Atlanta, GA (Hybrid)
Duration: 6 Months Contract (Possible for
extension or conversion)
Job
Description:
Top Skills / Manager Notes:
Role Overview
- This
is focus on:
- Data
Architecture
- Data
Governance
- Data
Privacy
- Seeking
candidates with architecture experience across multiple database
environments.
- Primary
responsibilities include enterprise data support across multiple projects.
Technical Requirements
- Experience
with Datalakes (preferably Google Cloud, but other platforms are
acceptable), Data Warehousing
- Strong
understanding of SQL databases
- Must
be able to support data flow from Salesforce, enabling analysts to derive
visual insights
- Responsible
for maintaining data quality
- Internal
visualization tool used: Tableau
- The
role is more strategic—focused on data modeling, architecture diagrams,
and stakeholder engagement rather than hands-on coding.
Experience Requirements
- 3–5
years of experience as an IT Architect
- Prior
enterprise-level data experience, especially with data ingestion from
multiple sources
- Strong
interpersonal and communication skills to collaborate across diverse
stakeholder groups
- Focused
on pure Data Architecture in the past 5+ years who has been responsible
for pure Data Architecture including some of the following: - Creating
data Architecture blueprints and aligning them with enterprise
architecture - Defining enterprise data standards, guidelines, and best
practices - Ensuring data quality, consistency, and governance across
systems - Implementing data security measures and ensuring Data compliance
- Documenting data flows, lineage, and architecture diagrams
Top 3 Skills
- Ability
to collaborate with multiple stakeholders
- Experience
working with enterprise data from multiple sources
- Strong
background in Data Architecture, Governance, and Visualization
Interview Process
- First
Round: Interview with Hiring Manager
- Second
Round: Interview with Stakeholders
Note: Interviews will be discussion-based, not highly technical.
Role Purpose
The IT Architect is a
member of a team delivering new technology capabilities to the Company’s
owners, customers, and partners within the organization. The IT Architect helps
set the vision and parameters that Agile delivery teams' operation within. In addition,
the IT Architect helps build and support governance processes that ensure that
team deliverables meet the Company’s standards for performance, availability,
quality, security, and maintainability.
Key
Accountabilities
- Leads
the Enterprise Data Architecture across the eco-system with focus on:
- Cloud
Platforms in Google Cloud, AWS, and Salesforce
- On-premises
and PaaS platforms such as Oracle, Corporate Systems, and Financial
Systems
- Big
Data Tools in Google Cloud
- ETL
& Data Integration
- Data
Governance & Quality
- Data
Security
- Data
Compliance & Residency
Responsible for cataloging and defining the Data architectural artifacts
including Data Flows, Logical & Physical Data Models, Data integrations,
and more.
Leads the architectural efforts of large, complex projects (e.g., a family of
products or IT services) involving multiple vendors, multiple technologies,
leading?edge technologies, and broad implications for architecture and develops
roadmap incorporating industry best practices.
Supports the development of complex proposals related to integrating
multiple architecture domains (i.e., process, application, data,
infrastructure).
Manages the architectural lifecycle, ensuring that engineering and maintenance
phases conform to the architecture.
Makes strategic decisions about system design, implementation, and maintenance.
Analyzes systems and processes from end to end.
Analyzes quality attributes of solutions and evaluates the technical and
economic feasibility of proposed solutions.
Interacts with clients or senior management in geographically and/or socially
diverse teams on strategic operations, serving as an expert in several
specialties or components.
Participates as a member of a team to assess and recommend a migration strategy
to new technologies.
Displays collaboration & leadership by leveraging communication skills
to liaise with senior management, business leaders, and IT teams to ensure
alignment on data strategy.
Enable cross-functional collaboration by working closely with software
developers, data engineers, security teams, and business analysts to implement
data solutions.
Stays current on the latest technologies and
trends. Key Skills & Experiences
Education –
Bachelor's or Master's Degree in a relevant field of work or an equivalent
combination of education and work-related experience.
Experience
–
- Typically,
a minimum of 10+ years of progressive work-related experience with
demonstrated proficiency in multiple disciplines, technologies, or
processes related to the position.
- 3-5
years of Data Architect experience
Technical
skills and Knowledge –
- Technical
mastery and competency in all architecture, with vast knowledge of the
capabilities and constraints of technologies supported.
- Understanding
of the designs and technology footprints of multiple products within a
product family.
- Champion
engineering process disciplines (e.g., Scrum, Agile, Kanban, ITIL).
- Champion
industry process improvement programs (e.g., CMMI, IOS?9000, FDA, Six
Sigma).
Required
Skills:
- Data
Focused:
- Data
Warehouse ecosystems
- Data
Design Principles and Best Practices
- Reporting
and Analytics Design Platforms
- Data
Platforms knowledge for Data Residency decisions
- BI
tools
- Analytic
Tools
- Decision
Science Experience, including Machine Learning or Artificial Intelligence
- Forecast
and Demand Planning Applications
- Master
Data Management Applications
- Relational
& NoSQL Databases
Middleware Focused:
Java
REST
Enterprise Caching Architectures
Messaging Based Architecture e.g. Kafka
Micro Service Architecture
Public Facing APIs and API Gateways
Enterprise Integration Patterns
Data Transformation and ETL Hot Skills:
- Cloud
Focused:
- Google
Cloud & Big Query
- Salesforce
and Data Cloud
- AWS
and cloud-native architectures
Data Focused:
Hospitality Data
Big Data
Relational Data
BI Tools & Reporting (Tableau, Power BI, or Looker)
