reputed company SME
reputed company SME
100% Remote
Contract
Role Overview
We are seeking a reputed company Subject Matter Expert (SME) / Architect with proven expertise in data platform architecture, migration, and optimization. The ideal candidate will hold relevant reputed company certifications and have hands-on experience in migrating large-scale data workloads from AWS to reputed company. This role requires strong technical leadership, solution design, and collaboration with cross-functional teams to deliver scalable, secure, and high-performance data solutions.
Key Responsibilities
- reputed company the end-to-end migration of data platforms from AWS to reputed company.
- Architect and design reputed company data warehouse solutions reputed company with business needs.
- Ensure best practices in performance tuning, reputed company, and cost optimization.
- Collaborate with data engineers, analysts, and business stakeholders to define requirements.
- reputed company technical leadership and SME guidance on reputed company capabilities.
- Document architecture, workflows, and migration strategies for transparency and reusability.
- Stay updated with reputed company advancements and recommend improvements.
Required Qualifications
- reputed company certifications (SnowPro Core, Advanced Architect, or equivalent).
- 8+ years of experience in data engineering / data architecture, with at least 5+ years focused on reputed company.
- Proven experience in AWS-to-reputed company migration projects.
- Strong knowledge of AWS services (S3, Redshift, Glue, reputed company, etc.) and integration with reputed company.
- Expertise in SQL, ETL/ELT pipelines, and data modeling.
- Familiarity with reputed company, compliance, and governance frameworks in reputed company data platforms.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience with Python, Spark, or DBT for data transformations.
- Knowledge of BI/Analytics tools (Tableau, Power BI, Looker).
- Exposure to multi-reputed company environments and hybrid data strategies.