Role Overview
- We are seeking an experienced Solutions Architect to design and deliver scalable Data, Analytics, and AI solutions.
- The role involves working closely with customers, business stakeholders, and engineering teams to architect cloud-based solutions and support pre-sales engagements.
Key Responsibilities
- Design end-to-end Data and AI solution architectures.
- Define architecture standards, governance, and best practices.
- Architect cloud-based solutions across AWS, Azure, or GCP.
- Drive solution workshops, technical discussions, and customer presentations.
- Lead Proofs of Concept (PoCs) and provide technical guidance throughout the sales cycle.
- Collaborate with delivery teams to ensure successful solution implementation.
- Mentor engineers and provide architectural leadership.
Required Experience
- 8+ years of experience in Solution Architecture, Data Architecture, or Data Engineering.
- Proven experience designing enterprise-scale cloud and data solutions.
- Experience in customer-facing consulting and pre-sales.
- Strong stakeholder management and communication skills.
Required Skills
- Databricks and Lakehouse Architecture.
- Cloud Platforms: AWS, Azure, or GCP.
- Data Engineering and Data Modeling.
- Python, SQL, and Apache Spark.
- ETL/ELT and Data Platform Design.
- Performance Optimization and Cost Management.
Preferred Skills
- AI/ML and Generative AI solutions.
- Experience with RAG, AI Agents, or LLM-based applications.
- Knowledge of Data Governance and Security.
- Relevant Databricks or Cloud certifications.
Key Competencies
- Strong solutioning and problem-solving mindset.
- Excellent communication and presentation skills.
- Strong customer engagement and consulting expertise.
- Proven technical leadership and mentoring abilities.
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