Snowflake Senior Data Architect - Chicago, IL
10 hours ago
Job description
HCL Technologies Limited
Job Summary
The Snowflake Data Arch Lead is responsible for architecting and delivering enterprise-scale data solutions using Snowflake, DBT, SQL, and Python. This role provides architectural leadership, drives technical strategy, and ensures alignment with industry best practices. The position plays a critical part in enabling data-driven decision-making, fostering innovation, and establishing governance for robust, scalable, and secure data platforms.
Key Responsibilities
- Provide Architectural Leadership By Designing And Implementing Enterprise-Scale Data Solutions Using Snowflake, Ensuring Scalability, Performance, And Alignment With Organizational Objectives.
- Define And Enforce Data Modeling Standards And Best Practices In Snowflake And Dbt, Establishing Governance And Compliance Measures Across All Project Deliverables.
- Lead The Integration Of Data Pipelines Using Python And Sql, Optimizing Etl/Elt Workflows For Reliability And Efficiency.
- Collaborate With Business Stakeholders To Translate Complex Requirements Into Innovative Snowflake-Based Architectures That Support Strategic Business Initiatives.
- Guide And Mentor Technical Teams In Adopting Advanced Snowflake Features, Dbt Transformations, And Sql Optimization Techniques To Ensure Delivery Excellence.
- Oversee Architectural Reviews And Ensure All Solutions Adhere To Security, Compliance, And Data Governance Standards Within The Snowflake Ecosystem.
- Drive Continuous Knowledge Enhancement By Evaluating Emerging Snowflake Features And Industry Trends, And Disseminating Best Practices Across Teams.
- Contribute To Organizational Thought Leadership By Submitting Whitepapers, Participating In Industry Forums, And Supporting Patent Filings In The Data Architecture Domain.
Skill Requirements
- Architectural Leadership In Snowflake, Including Advanced Proficiency In Data Warehousing Concepts, Security, And Scalability
- InDepth Expertise In Dbt For Data Transformation And Workflow Orchestration
- Advanced Proficiency In Sql For Complex Data Modeling, Query Optimization, And Analytics
- Solid Experience With Python For Data Engineering And Automation Tasks
- Excellent Understanding Of Data Governance, Compliance, And Security Best Practices In Cloud Data Platforms
- Strong Ability To Translate Business Requirements Into Scalable Technical Solutions
Other Requirements
- Snowflake Snowpro Advanced Architect Certification (Optional But Valuable)
- Dbt Advanced Certification (Optional But Valuable)
- Relevant Cloud Platform Certifications (E.G., Aws Certified Data Analytics Specialty, Google Professional Data Engineer) Are An Advantag
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