
Data Architecture Expert
2 days ago
Role Overview :
We are seeking a visionary Architect to lead the design and implementation of advanced analytics and AI/ML solutions on Databricks and Azure cloud platforms.
The ideal candidate will possess strong expertise in data engineering, architecture, and governance, with a proven track record of delivering scalable and efficient data solutions.
- Lead end-to-end design, development, and deployment of advanced analytics and AI/ML solutions on Databricks and Azure cloud platforms.
- Architect scalable and robust data pipelines, ensuring efficient data ingestion, transformation, and storage within the Databricks ecosystem.
- Drive AI initiatives by designing and implementing AI models, leveraging cutting-edge generative AI frameworks and Python programming.
- Collaborate with business stakeholders to gather and analyze complex requirements and translate them into technical solutions with measurable business impact.
- Oversee governance, data quality, security, and compliance processes to ensure data integrity and regulatory adherence.
- Mentor and guide development teams on best practices, code standards, and architectural patterns related to AI, ML, and data engineering.
- Implement and optimize data workflows using Azure Data Factory, integrating various data sources and destinations efficiently.
- Develop and maintain dashboards and visualizations using Power BI to enable data-driven decision-making.
- Drive continuous improvement by evaluating new technologies and tools within the GenAI and cloud data engineering ecosystem.
- Manage remote and distributed teams effectively, ensuring collaboration and timely delivery across nearshore or offshore models.
- Engage with cross-functional teams, including data scientists, engineers, and business analysts, to align technical solutions with strategic objectives.
Requirements :
- 12 to 15+ years of experience in Business Intelligence (BI), Data Engineering, and Advanced Analytics.
- At least 5 years of hands-on experience in AI/ML, Generative AI, and Python development at an architect or senior technical level.
- Extensive expertise in Databricks, including architecture design, cluster management, and Spark programming.
- Strong experience in Azure Data Factory for orchestrating and automating data workflows.
- Proficiency with data visualization tools, preferably Power BI, for building enterprise-grade dashboards.
- Solid understanding of cloud architecture principles, data governance, and security best practices.
- Proven ability to manage complex projects end-to-end, from requirement gathering through design, build, deployment, and operational governance.
- Strong leadership and mentoring skills with experience managing remote or distributed teams.
- Excellent communication and stakeholder management skills to work effectively in diverse and collaborative environments.
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