Data Cloud Solution Architect-Snowflake
2 weeks ago
Key Responsibilities:
- Lead end-to-end solution design and architecture for data cloud projects, including migrations from Hadoop or Teradata to modern platforms like Snowflake or Google BigQuery.
- Collaborate with clients to understand business challenges and design scalable, efficient, and cost-effective data solutions.
- Manage large technology company accounts, ensuring successful service delivery, client satisfaction, and account growth.
- Develop and implement data pipelines, transformation frameworks, and automation using dbt and other tools.
- Drive cloud adoption and data transformation strategies aligned with AI-powered insights and business outcomes.
- Work closely with engineering teams, product owners, and client stakeholders to ensure seamless solution implementation.
- Mentor and guide junior architects and technical teams to foster a high-performance culture.
- Stay updated on advancements in the data cloud ecosystem, including Snowflake, BigQuery, Databricks, AI solutions, and FinOps trends.
Skills & Qualifications:
- 10+ years of experience in solution architecture, data engineering, or data analytics.
- 3+ years of experience with Snowflake, Google BigQuery, or dbt.
- Proven expertise in Hadoop or Teradata migrations and data cloud modernization projects.
- Prior experience in IT services organizations, including hiring and coaching talent and proposal creation.
- Experience working with large Fortune 500 technology clients.
- Strong understanding of data pipelines, cloud infrastructure, and transformation frameworks.
- Ability to communicate complex technical concepts to technical and non-technical stakeholders.
- Growth mindset, entrepreneurial spirit, and customer-first attitude.
Preferred Skills:
- Exposure to AI/ML solutions and cloud-native architecture.
- Experience with multi-cloud environments, including AWS, Azure, or GCP.
- Knowledge of data governance, security best practices, and FinOps.
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