Principal Snowflake Engineer

Anblicks; Dallas (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

Anblicks is seeking a Lead / Principal Snowflake Engineer in Dallas, TX. This role focuses on architecting scalable data platforms on Snowflake and driving modernization and efficiency. The ideal candidate has over 10 years of experience in data engineering and a strong background in building end-to-end data platforms.

Responsibilities include developing ELT pipelines, optimizing datasets for performance, and providing technical leadership to teams. If you are passionate about data architecture and optimization, we encourage you to apply.

Qualifications

• 10+ years of experience in data engineering, data architecture, or related roles.
• Strong expertise in Snowflake (data modeling, performance tuning, governance, security).
• Proven experience building end-to-end data platforms from scratch.

Responsibilities

• Architect and build scalable, enterprise-grade data platforms on Snowflake.
• Develop end-to-end ELT pipelines from various sources.
• Optimize datasets for performance and scalability.

Skills

Data engineering

Snowflake expertise

SQL expertise

Data modeling

Cloud expertise (Azure/AWS)

Python

Data governance

Data integration

Education

10+ years in data engineering or architecture

Tools

Snowflake

Power BI

dbt

SODA

SnapLogic

Job description

Role Overview

We are seeking a Lead / Principal Snowflake Engineer to architect and build scalable, enterprise-grade data platforms on Snowflake. This role will own the end-to-end data lifecycle, including ingestion, transformation, semantic layer implementation, and delivery of front-end application. You will act as a technical leader and architect, driving platform modernization, enforcing engineering standards, and ensuring performance, scalability, and cost efficiency.

Key Responsibilities

• Data Platform Architecture & Modernization
• Design and build scalable Snowflake data platforms using best practices
• Assess legacy systems and define modernization and migration strategies
• Establish architectural standards, governance frameworks, and reusable patterns
• Data Engineering & Integration
• Develop end-to-end ELT pipelines from APIs, databases, SaaS platforms, and event streams
• Build reliable connectors with robust error handling, retry logic, and data consistency
• Transform raw data into clean, normalized, consumption-ready datasets
• Data Modeling & Semantic Layer
• Design dimensional data models (fact/dimension, star/snowflake schemas)
• Implement business-friendly semantic layers aligned with enterprise reporting needs
• Build aggregations, pre-computed metrics, and optimized data structures for analytics
• Snowflake Engineering & Optimization
• Develop advanced SQL transformations and implement performance tuning strategies
• Manage warehouse sizing, workload optimization, and cost governance
• Implement RBAC, data security, versioning, and data sharing mechanisms
• BI & Analytics Enablement
• Align Snowflake data models with Power BI (DirectQuery and Import models)
• Optimize datasets for performance, scalability, and reporting efficiency
• Data Quality, Observability & AI Enablement
• Implement data validation, monitoring, and alerting frameworks
• Ensure high reliability and trust in downstream data consumption
• Leverage Snowflake Cortex, Agentic AI patterns, and AI tools to automate workflows and improve engineering productivity
• Leadership & Stakeholder Engagement
• Provide technical leadership and mentor engineering teams
• Collaborate with stakeholders to define business and technical requirements
• Drive adoption of best practices in Snowflake and modern data engineering

Required Qualifications

• 10+ years of experience in data engineering, data architecture, or related roles
• Strong expertise in Snowflake (data modeling, performance tuning, governance, security)
• Proven experience building end-to-end data platforms from scratch
• Deep knowledge of semantic layer design and BI alignment
• Advanced SQL expertise (window functions, PIVOT, GROUPING SETS, etc.)
• Experience with multi-source data integration (RDBMS, APIs, SaaS, streaming)
• Strong cloud expertise (Azure/AWS) with Snowflake integration
• Proficiency in Python for data engineering and automation
• Familiarity with Agentic AI concepts and AI-driven tools to improve development efficiency and automation

Preferred Qualifications

• Experience with dbt (models, testing, lineage, documentation)
• Exposure to data observability tools (SODA)
• Experience with SnapLogic, AWS S3, or equivalent services
• Experience with Snowflake Cortex / AI-based workflows
• Domain experience in Operation Data (Cloud FinOps, AI Tool Ops, Managed Services Data, Agile Delivery Data) will be an advantage.

Success Criteria

• Ability to design, architect, and deliver Snowflake platforms end-to-end
• Strong focus on performance, scalability, and cost optimization
• Expertise in data modeling and semantic layer implementation
• Demonstrated technical leadership and stakeholder management