Devops Jobs in Round Rock, TX

We are seeking a Sr. Azure Data Architect.

We are seeking a highly skilled Senior Azure Data Architect with a strong background in consulting, data architecture, integration strategies, and enterprise data planning. The ideal candidate will have extensive experience in the Microsoft ecosystem, leading data and AI-driven initiatives across cloud and hybrid environments. This role requires exceptional communication and stakeholder management skills to ensure seamless collaboration across business and technical teams.

Key Responsibilities :

Data Architecture & Strategy :

• Design, lead, and implement enterprise-grade data solutions within Azure / Microsoft Fabric, design and solution medallion architecture to transform customers’ data estate.
• Can lead Enterprise data strategy vision engagements.
• Leverage Microsoft Fabric components (such as its unified data lakehouse or medallion architecture principles) to create a cohesive and agile data platform.

Cloud Integration & Migration :

• Design and implement robust data pipelines that support both traditional BI reporting and machine learning workflows using Azure Data Factory, Synapse Analytics, and Databricks.

Machine Learning & Advanced Analytics Integration :

• Architect end-to-end machine learning pipelines utilizing Azure Machine Learning and Cognitive Services to enable real-time model training and inference.
• Develop strategies for embedding predictive analytics and AI-driven insights directly into enterprise data solutions.

Consulting & Stakeholder Engagement :

• Act as a technical lead during the sales pursuit process
• Gather business requirements, create work task estimates, participate in writing statements of work, and RFPs

o Act as a customer-facing, project lead, and trusted advisor? Advise customers on best practices and drive data-driven decision-making for clients.

Data & AI Solutions :

o Experience working with Fabric, Azure AI, Cognitive Services, Machine Learning, and other AI tools to develop intelligent data solutions and drive predictive analytics.

Data Governance & Security :

Establish best practices for data quality, lineage, and compliance, preferably utilizing Microsoft Purview profiling.

o Implement governance frameworks that cover both structured and unstructured data across Azure services and Microsoft Fabric environments.

Performance Optimization :

o Monitor and fine-tune data workflows and machine learning processes to optimize performance and cost-effectiveness in cloud and hybrid settings.

o Use insights to proactively recommend CloudServus customers improvement opportunities for both cost savings and operational excellence.

Collaboration & Leadership :

o Work cross-functionally with business leaders, engineers, and analysts, while mentoring junior data professionals.

Microsoft Ecosystem Expertise :

o Leverage Microsoft tools and technologies to build and optimize data and AI solutions in Azure environments.

Required Qualifications :

• 8+ years of experience in data architecture, data strategy, and cloud-based data solutions.
• Strong consulting experience with the ability to engage and influence business stakeholders.
• Expertise in Azure data services (Azure Data Factory, Synapse, Databricks, Azure SQL, Cosmos DB, etc.).
• Experience utilizing Microsoft Fabric (Onelake, Data Factory, Lakehouses, Power BI)
• Proficiency in data integration, ETL / ELT pipelines, and API-based data interactions.
• Experience in data modeling, governance, and compliance best practices. • Knowledge of modern data platforms, analytics, and AI-driven solutions within Azure.
• Excellent communication, presentation, and stakeholder management skills. • Microsoft certifications (Azure Data Engineer, Azure Solutions Architect, or similar) are a plus.
• Experience working in enterprise consulting or professional services

Preferred Qualifications :

• Experience in AI, machine learning, and data science applications within Azure (Azure Machine Learning, Cognitive Services, OpenAI, etc.).
• Familiarity with AI-driven analytics and predictive modeling.
• Experience with Power BI, AI / ML solutions, and data visualization tools.
• Knowledge of DevOps, CI / CD pipelines, and Infrastructure as Code (Terraform, ARM templates).

Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and / or disability status.