Enterprise Data Architect

Role: Enterprise Data Architect

Location: Remote

Fulltime

Note: Visa sponsorship is not available for this role. Candidates must be authorized to work in the U.S. without current or future sponsorship.

Preference: Candidates from EST time Zone and CST Time Zone are highly preferred

Job description:

· Define and govern the enterprise Lakehouse architecture across consumer and commercial banking domains.

· Provide architectural oversight by reviewing solutions, guiding implementation teams, and ensuring adherence to enterprise standards.

· Partner with senior technology leaders and Snowflake architects to shape strategic data platform decisions and executive recommendations.

· Strong executive communication and interpersonal skills

Responsibilities:

• Directly engage with customers individually or as part of a technical delivery team
• Oversee and advise on the implementation of the customer's Snowflake platform
• Demonstrate technical leadership through personally developed code, solution architectures and implementation recommendations
• Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches
• Extract business requirements from customers and translate them into a well-architected recommendation
• Develop and provide forward-looking guidance and future state roadmaps
• Leverage known best practices and solutions to reduce risk to customer implementations
• Decompose future state goals into actionable execution plans
• Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals

Requirement:

• 15+ years of experience as a Senior Solutions Architect, data architect, database administrator, or data engineer
• Experience in a lead role for analytics projects for large enterprises
• Experience implementing and operating Snowflake-centric solutions
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions
• Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
• Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform