Senior Solutions Architect
Tiger Analytics Inc.3 months ago
Remote, United StatesSenior
Responsibilities
- Engage directly with customers individually or as part of technical delivery teams.
- Oversee and advise on customer Snowflake platform implementations.
- Develop code, solution architectures, and implementation recommendations.
- Advise customer executive leadership on solution approaches and thought leadership.
- Extract business requirements and translate them into well-architected recommendations.
- Develop future-state guidance, roadmaps, and actionable execution plans.
- Apply best practices to reduce implementation risk.
- Collaborate with Snowflake go-to-market and product teams to align customer solutions with Snowflake goals.
Requirements
- Have 12–14 years of experience as a Senior Solutions Architect, data architect, database administrator, or data engineer.
- Have experience leading analytics projects for large enterprises.
- Have experience implementing and operating Snowflake-centric solutions.
- Understand the complete data analytics workflow, from ETL and data platform design through BI and analytics tools.
- Have hands-on technical experience using SQL, Python, Java, and/or Spark to build, operate, and maintain data analytics solutions.
- Have extensive experience with large-scale database technologies such as Snowflake, Netezza, Exadata, Teradata, or Greenplum.
- Be proficient in implementing data security measures and access controls within Snowflake.
- Preferred qualifications include product-company services experience, technical project leadership, industry vertical expertise, application development experience, AWS, Google, or Microsoft Cloud certifications, and Snowflake SnowPro Advanced certification.
Benefits
- Remote, full-time position.
- Significant career development opportunities in a growing company.
- Opportunity to work in a small, challenging, entrepreneurial environment with substantial individual responsibility.
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.