Azure Data Architect || Dallas, TX - Onsite Hybrid (Local candidates only) || Full-time

Job Title: Lead Data Architect

Location: Remote / Hybrid (If applicable, specify location)
Job Type: Full-Time
Experience Required: 10+ Years
Interview Process: Video
Job Summary:

We are seeking a visionary Lead Data Architect who is passionate about driving innovation and building scalable, data-driven solutions. This individual will play a critical role in bridging business strategy with technical execution-designing robust architectures that power operations, analytics, and engineering across the enterprise.

As a strategic advisor and hands-on leader, you will shape and implement data standards, influence organizational roadmaps, evaluate top-tier technologies, and mentor emerging talent. You will be a key contributor to our evolving data landscape, ensuring transparency, governance, and excellence in execution.
Key Responsibilities:
Technical Strategy

• Collaborate on multi-year data architecture strategies and roadmaps.
• Design and maintain business and technical capability models.
• Develop target and reference architectures for enterprise-wide initiatives.
• Evaluate industry trends, recommend emerging technologies, and document architecture consistently.

Consulting & Guidance

• Align recommendations with business units and organizational data strategies.
• Provide expert consulting to development and infrastructure teams.
• Present technical concepts clearly to both technical and non-technical stakeholders.

Leadership

• Lead data architecture projects with a clear vision for change management.
• Build strong relationships across business and technical groups.
• Inspire engagement with enterprise-wide data strategies.

Patterns & Standards Development

• Identify and address gaps in data design patterns and development standards.
• Research, develop, and promote modern data design principles.
• Evaluate tools/technologies through proof-of-concept analysis.
• Contribute to an enterprise catalog of data patterns and standards.

Governance & Compliance

• Participate in architecture review boards.
• Ensure standardization of tools, technologies, and methodologies.
• Advocate for data governance, security, and compliance.

Community Building

• Actively engage in architectural forums and documentation initiatives.
• Mentor junior architects and data engineers.
• Build a collaborative community of practice across domains.

Required Qualifications:

• 10+ years of progressive experience in data engineering or related fields.
• 6+ years of hands-on experience across multiple data domains (e.g., data engineering, BI, AI, data security, etc.).
• 2+ years of experience in cloud-based data environments (AWS, Azure, GCP).
• Expertise in enterprise data platforms like Teradata, Oracle, or Snowflake.
• Proven experience with data integration tools (Informatica, Kafka, Talend, SSIS, etc.).
• Hands-on skills in scripting languages (Python, Bash, JavaScript, PowerShell, etc.).
• Knowledge of virtualization and hyper-converged infrastructure (VMWare, Nutanix).
• Strong skills in BI and visualization tools (Power BI, Tableau).
• Experience working with third-party data services.
• Exceptional communication, stakeholder management, and team collaboration skills.

Preferred Qualifications:

• 4+ years of experience with analytics and predictive modeling solutions.
• 3+ years working with Agile methodologies.
• 2+ years of experience as a Data Architect.
• Certified in Azure or AWS architecture.
• Background in financial services or insurance industry.
• Practical exposure to Artificial Intelligence and data science workflows.

Soft Skills & Traits:

• Strategic thinker with a strong business acumen.
• Passion for innovation and emerging technologies.
• Self-starter with a proactive, problem-solving mindset.
• Ability to influence and lead without authority.
• High attention to detail and quality.