AI & Data | Snowflake Data Architect

Accenture • St. Petersburg, FL

4d • Hybrid

About The Position

We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You are: An experienced, hands-on Snowflake Data Architect with deep expertise in designing, building, and governing modern data platforms on Snowflake in the cloud (AWS, Azure, and/or GCP). You thrive on shaping end-to-end data architectures—from ingestion and modeling through performance, security, and cost optimization—and you’re equally comfortable rolling up your sleeves with SQL/Snowflake features as you are guiding Csuite and engineering teams on target state designs. You excel at: Defining scalable, secure, and cost-efficient Snowflake architectures Leading and mentoring data engineering and BI teams Translating complex business requirements into robust data models and patterns Partnering with clients and cross functional teams to drive data led transformation The Work: There will never be a typical day, and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the everchanging data and AI landscape. You will be part of a highly collaborative and growing network of technology and data experts, taking on today’s biggest, most complex business challenges using Snowflake, cloud platforms, and modern data engineering. We will nurture your talent in an inclusive culture that values diversity. You’ll have the opportunity to work across all aspects of data architecture and engineering, including: Cloud data platforms & architectures Data modeling (enterprise, domain, and product level) Data integration, ELT/ETL, and orchestration Governance, security, and quality Advanced analytics and Already data foundations

Requirements

• A minimum of 5 years of overall experience in data engineering / data warehousing / data architecture roles
• A minimum of 4 years of hands-on, production experience as a Snowflake Architect / Senior Snowflake Engineer, including: Designing and deploying enterprise Snowflake environments, Implementing data models, security, and performance strategies in Snowflake and Strong cloud experience with at least one major cloud (AWS, Azure, or GCP), including networking, security, and data services integration with Snowflake
• A minimum of 4 years of SQL and Snowflake experience, such as: Virtual warehouses, micro partitioning, clustering keys; Time Travel, FailSafe, Streams & Tasks, Snowpipe / ingestion patterns and RBAC, masking policies, secure views, data sharing
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Nice To Haves

• Data modeling, governance, and quality management skills: Experience designing dimensional models, normalized schemas, and/or Data Vault Familiarity with data cataloging, lineage, and quality frameworks
• Technical leadership and solution design: Proven ability to lead architecture/design sessions, produce solution blueprints, and guide teams through implementation Experience working with cross functional teams (data engineering, BI, AI/ML, security, operations)
• Experience with DBT or similar ELT modeling frameworks on Snowflake
• Experience with Databricks, Python Language, PySpark, or other big data/compute engines and how they integrate with Snowflake
• Handson experience with realtime / streaming ingestion (e.g., Kafka, Event Hubs, Kinesis, Snowpipe Streaming)
• Experience in regulated industries (e.g., life sciences, healthcare, financial services) with strong compliance requirements

Responsibilities

• Snowflake Data Architecture & Strategy Define, document, and own target state data architectures on Snowflake, including data warehousing, data lakes, and data sharing patterns.
• Establish architectural standards, blueprints, and reference implementations for multidomain, multiregional Snowflake environments.
• Data Modeling & Design Lead the design of conceptual, logical, and physical data models (e.g., dimensional/star, Data Vault, wide tables) optimized for Snowflake performance and consumption.
• Define and enforce data partitioning, clustering, and micro partitioning strategies to maximize query performance and minimize cost.
• Data Integration & ELT Architecture Design robust ELT/ETL patterns to ingest data from on prem and cloud sources using tools such as dbt, Informatica, ADF, Fivetran, Matillion, or similar.
• Define frameworks for CI/CD, testing, deployment, and environment management for Snowflake data pipelines.
• Leadership, Mentoring & Stakeholder Management Lead and mentor teams of data engineers and analysts, fostering technical excellence and best practices in Snowflake and cloud data engineering.
• Work closely with business stakeholders, product owners, and analytics/AI teams to understand requirements, prioritize roadmaps, and deliver value aligned capabilities.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level