Data Architect / Lead @ Remote USA

Position: Data Architect / Lead

Location: Remote USA

Duration: Long Term Contract

Position Overview

• We are seeking an experienced Data Architect to lead and shape our GenAI Insights team.
• This role will focus on designing, implementing, and optimizing scalable data solutions across Azure and modern data platforms. The Data Architect will oversee a team of Data Engineers, ensure best practices in data quality and governance, and drive insights delivery through advanced analytics and visualization tools.

Key Responsibilities

• Leadership & Strategy
• Lead and mentor Data Engineering teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Define and own the overall data architecture vision, ensuring alignment with organizational goals and industry best practices.
• Partner with business leaders to translate strategic objectives into scalable data solutions.
• Data Architecture & Engineering
• Design, build, and manage modern data platforms leveraging Azure Data Lake, Azure SQL Server, Databricks, Microsoft Fabric, and NoSQL databases.
• Develop and maintain scalable data pipelines to integrate data from multiple structured and unstructured sources.
• Establish and implement data quality engineering practices to ensure consistency, accuracy, and reliability across data assets.
• Drive adoption of data governance and security frameworks to protect and manage enterprise data.
• Knowledge of advanced analytics, machine learning, or AI-based solutions.
• Analytics & Insights
• Enable data-driven decision making by designing solutions that deliver timely, trusted, and actionable insights.
• Collaborate with business intelligence teams to build Power BI dashboards and executive-level reporting.
• Partner with executive leadership to present insights in a clear, compelling, and strategic manner.
• Understanding of Generative AI tooling and the ability to integrate AI into generating insights for the data

Required Qualifications

• Bachelor's degree in computer science, Information Systems, Data Engineering, or a related discipline.
• 5+ years of overall professional experience in data engineering, architecture, or analytics roles.
• Relevant data engineering certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, Microsoft Fabric Analytics Engineer Associate)
• Proven experience leading and managing Data Engineering teams in enterprise environments.
• Strong expertise with SQL Server, Azure Data Lake, Databricks, and Microsoft Fabric.
• Hands-on experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, or equivalent).
• Demonstrated skills in data quality engineering, including profiling, validation, and monitoring of enterprise data.
• Proficiency in developing and deploying Power BI dashboards and enterprise reporting solutions.
• Demonstrated success in building data pipelines to integrate and transform data from multiple sources.
• Strong knowledge of Azure cloud services, data storage, security, and governance.
• Exceptional communication skills, with the ability to convey complex technical concepts to executive stakeholders.

Thanks & Regards

Rakesh Vangala

Team Lead

Burgeon IT Services LLC.

Email Id: OR

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