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Manager of Data Architecture

Flower Mound, TX, US • Posted 11 hours ago • Updated 9 hours ago

Full Time

On-site

USD 165,000.00 per year

Fitment

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Job Details

Skills

IT Architecture
Data Flow
Scalability
Modeling
Semantics
Data Quality
Streaming
Performance Tuning
Team Management
Mentorship
Analytics
Data Engineering
Databricks
Cloud Computing
Microsoft Azure
Data Modeling
Snow Flake Schema
SQL
Python
Team Leadership
IT Management
Enterprise Resource Planning
Finance
Supply Chain Management
Logistics
Data Integration
Informatica
Business Intelligence
Reporting
Microsoft Power BI
Tableau
Data Governance
Regulatory Compliance
Artificial Intelligence
Machine Learning (ML)
Data Architecture
Management
Leadership

Summary

Data Architect Manager (Hybrid | Direct Hire)

Location: Dallas-Fort Worth, TX (Hybrid - 1-2 days onsite)
Compensation: $165,000+ (flexible for leadership experience)
Please note: No C2C, agency referrals or sponsorship available

Overview

We are seeking a hands-on Data Architect Manager to lead the design and governance of enterprise data architecture while managing a small, high-impact team. This role blends technical architecture with leadership, making it ideal for someone who has grown from a senior data engineer or architect into a team lead or manager.

You'll play a critical role in shaping how data flows across the organization-from core transactional systems into a modern cloud-based analytics platform-while ensuring scalability, performance, and governance across the ecosystem.

Key Responsibilities

Data Architecture & Design

Define and implement enterprise data architecture standards across modeling, integration, and governance
Design scalable data models within a modern lakehouse architecture (multi-layered data environments)
Establish canonical data models and semantic layers to support analytics and reporting
Ensure data quality, lineage, and security standards are enforced across platforms

Databricks & Cloud Platform

Lead architecture within a Databricks-based environment, including Delta Lake and cataloging frameworks
Partner with engineering teams to optimize batch and streaming data pipelines
Guide best practices for performance tuning, ingestion, and transformation processes
Align architecture with a cloud-first ecosystem (Azure-focused environment)

Leadership & Team Management

Lead, mentor, and develop a team of data engineers/architects (typically 3-5 direct reports)
Provide hands-on technical guidance while setting direction and priorities
Review and approve data models and architectural decisions across teams
Influence stakeholders across engineering, analytics, and business groups

Enterprise Data Integration

Design data models aligned to core business domains such as finance, supply chain, and operations
Work with large-scale ERP data sources and enterprise systems
Translate business requirements into scalable data architecture solutions

Required Qualifications

7+ years of experience in data architecture or data engineering
Proven hands-on experience with Databricks (Lakehouse, Delta, etc.)
Strong experience with cloud platforms (Azure preferred)
Deep understanding of data modeling (dimensional, star/snowflake schemas)
Strong SQL and Python expertise
Experience with enterprise data environments and large-scale systems
Demonstrated leadership experience (team lead, manager, or technical lead)

Preferred Experience

Experience working with ERP data (finance, supply chain, logistics domains)
Exposure to modern data integration tools (Fivetran, Informatica, etc.)
Experience supporting BI/reporting tools (Power BI, Tableau, etc.)
Familiarity with data governance, security, and compliance frameworks
Exposure to AI/ML data architecture concepts

Work Environment

Hybrid schedule (currently more remote, transitioning to 1-2 days onsite)
Direct hire opportunity with leadership responsibilities
High-visibility role within a growing data organization
Hands-on leadership culture-leaders are expected to stay close to the technology

#SNIT

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: snibot
Position Id: 392093
Posted 11 hours ago

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