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Snowflake Solution Architect
Snowflake Solution ArchitectAnblicks • Dallas, TX, United States
Snowflake Solution Architect

Snowflake Solution Architect

Anblicks • Dallas, TX, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Must be local to TX

Overview

As a Principal Data & AI Solutions Engineer, you will lead the design, development, and delivery of advanced data and AI solutions across cloud platforms. You will serve as a trusted advisor to clients and internal teams, driving innovation, ensuring architectural integrity, and enabling scalable, secure, and high-performing systems. This role demands deep hands-on expertise in at least one modern Cloud Data & AI platform and the ability to translate complex business needs into actionable technical strategies.

Key Responsibilities

  • Client Engagement & Advisory
  • Engage directly with enterprise clients to understand business goals and translate them into technical solutions.
  • Serve as a strategic advisor to executive stakeholders, guiding architecture decisions and transformation roadmaps.
  • Architecture & Solution Design
  • Lead the design of scalable, extensible, and secure data and AI architectures using platforms such as Snowflake, Databricks, Azure, AWS, or GCP.
  • Decompose future-state goals into actionable execution plans and reference architectures.
  • Hands-On Technical Leadership
  • Demonstrate deep hands-on expertise in at least one Cloud Data & AI platform, including environment setup, solution engineering, performance optimization, and cost management.
  • Build and validate prototypes, frameworks, and accelerators to support solution delivery.
  • Innovation & Reusability
  • Partner with innovation teams to develop reusable assets, accelerators, and business point solutions across verticals such as Financial Services, Healthcare, Retail, and Travel & Hospitality.
  • Project & Team Leadership
  • Lead multiple projects simultaneously, providing technical oversight and mentoring to engineering teams.
  • Ensure alignment with data governance, security, and compliance standards.
  • Collaboration & Enablement
  • Collaborate with product, marketing, and sales teams to support go-to-market strategies, demos, workshops, and client onboarding.

Required Skills & Experience

  • 10+ years of experience in Data Analytics, AI, and Cloud Architecture roles.
  • Deep hands-on expertise and end-to-end solutioning experience with at least one Cloud Data & AI platform (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, GCP BigQuery).
  • Strong understanding of data warehousing, ML / AI engineering, MLOps / AIOps, ata integration and Data Governance.
  • Proficiency in SQL, Python, and data engineering tools for automation and transformation.
  • Experience with ETL / ELT pipelines, data modeling, and visualization tools (Power BI, Tableau, Looker).
  • Proven ability to lead cross-functional teams and manage complex technical projects.
  • Excellent communication skills, with the ability to present technical concepts to non-technical audiences.

    • Preferred Qualifications

  • Experience with cloud migration and modernization initiatives.
  • Familiarity with industry-specific data models and domain-driven design.
  • Experience with data governance, privacy, and security frameworks.
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