Solutions Architect

We are seeking a highly skilled Databricks Solution Architect to join our team. The ideal candidate will have deep expertise in cloud-based data platforms, advanced analytics, and modern data engineering practices. You will be responsible for designing, implementing, and optimizing scalable data solutions using Databricks and related cloud technologies. This role requires strong technical acumen, excellent communication skills, and the ability to engage with both technical and business stakeholders.

Key Responsibilities:

• Design and implement scalable data solutions on Databricks Lakehouse, including data pipelines, governance, and analytics.
• Build and optimize ETL/ELT workflows using Spark, Delta Lake, and Databricks SQL for large-scale data processing.
• Collaborate with business and technical stakeholders to translate requirements into effective Databricks-based solutions.
• Ensure performance, security, and cost optimization of Databricks workloads across cloud platforms (AWS, Azure, GCP).
• Provide technical leadership and enablement, including mentoring teams, conducting workshops, and promoting best practices.

Qualifications & Requirements:

• Proven 8+ years of experience as a Solution Architect with strong expertise in Databricks Lakehouse platform.
• Deep knowledge of architecture design, scalability, governance, and security in Databricks.
• Strong understanding of multi-cloud environments (AWS, Azure, GCP) with Databricks integration.
• Ability to translate business requirements into end-to-end Databricks solutions.
• Expertise in enterprise data strategy, data modeling, and system integration.
• Excellent stakeholder management, client-facing, and presentation skills.
• Experience leading POCs, workshops, and technical enablement sessions for Databricks adoption.
• Databricks Solution Architect or Data Engineer certification (preferred but highly valuable).

• IT Services and IT Consulting

Full-time

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