AI & Data | Snowflake Data Engineer

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:

A best in class, hands-on Snowflake Data & Analytics Engineer with deep expertise in building modern, cloud native data solutions. You excel at designing and implementing robust ELT data pipelines into Snowflake, modeling data for analytics and reporting, and optimizing workloads for performance, quality, and cost. You are comfortable working across Snowflake, Azure Databricks, and other data services and can partner closely with analytics and business teams to turn raw data into actionable insights.

You are curious, detail oriented, and passionate about writing clean, efficient code. You thrive in fast paced environments and are motivated by solving hard data problems that unlock business value.

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 analytics 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, Azure Databricks, and modern data engineering practices.

We will nurture your talent in an inclusive culture that values diversity. You will have opportunities to work in all aspects of Data Engineering, including:

• Data ingestion and ELT into Snowflake
• Data Analytics using advanced SQL and Python Scripting
• Data modeling and data mart design for analytics and self-service BI
• Cloud & infrastructure integration (Azure, Databricks, data lakes)
• Data quality, observability, and governance enablement

Key Responsibilities:

Snowflake ELT Development

Design, build, and maintain high quality ELT/ETL pipelines that ingest data from diverse on premise and cloud sources into Snowflake using tools such as Azure Databricks, Azure Data Factory, dbt, or similar frameworks.

Data Modeling & Analytics Enablement

Develop and maintain scalable, analytics ready data models (e.g., star/snowflake schemas, data marts, wide tables) optimized for reporting, dashboards, and self-service analytics use cases.

Performance, Reliability & Cost Optimization

Analyze and tune Snowflake workloads (warehouses, queries, clustering, caching) to ensure predictable performance, reliability, and efficient credit consumption at scale.

Data Quality & Observability

Implement data quality checks, reconciliation logic, and monitoring to ensure data is accurate, complete, and timely. Work with governance and QA teams to embed quality controls into the pipeline

Collaboration with Stakeholders

Partner with analytics, BI, data science, and business teams to understand requirements and translate them into robust technical data solutions that support reporting, advanced analytics, and AI initiatives.

Documentation & Best Practices

Produce clear, maintainable documentation for pipelines, data sets, and jobs. Contribute to and adopt engineering best practices, reusable patterns, and internal accelerators for Snowflake and Databricks.

Support Migration & Modernization Efforts

Contribute to data platform modernization and migration efforts (e.g., moving from legacy warehouses to Snowflake on cloud), ensuring minimal disruption to downstream analytics and reporting.

This is a hybrid role in Tampa, FL and will require 3 days per week in the office.

What you need:

• A minimum of 3 years of professional experience in data engineering / data warehousing / analytics engineering, working on production grade data solutions
• A minimum of 2 years of recent, hands-on experience with Snowflake Cloud Data Platform, including: designing and implementing ELT pipelines into Snowflake, working with warehouses, databases, schemas, stages, and leveraging Snowflake features such as Time Travel, Streams & Tasks, and Snowpipe for ingestion
• A minimum of 1 year of experience with SQL and at least one ETL/ELT or orchestration tool such as Azure Data Factory, dbt, Informatica, Airflow or equivalent
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Bonus points if you have:

• Experience with Python or Scala for data engineering (e.g., building transformations in Azure Databricks or similar data processing frameworks).

• Solid understanding of data modeling and warehousing concepts:

• Familiarity with version control and DevOps practices:

• Strong problem solving skills, attention to detail, and the ability to work effectively in agile, cross functional teams.

• Building scalable data transformations using PySpark/Scala, integrating with Snowflake, and optimizing jobs for performance and cost.

• Streaming / real time data processing - Experience with Kafka, Event Hubs, Kinesis, or Snowpipe Streaming.

• Data quality / observability tools - Such as Great Expectations, Monte Carlo, Soda, or similar frameworks.

• Integrating Snowflake with BI & visualization tools (Power BI, Tableau, Looker, Qlik, etc.).

• Working in regulated or data sensitive industries (e.g., life sciences, healthcare, financial services), and applying strong governance, security, and privacy practices.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 04/10/2026

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. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
California $70,350 to $205,800
Cleveland $59,100 to $164,600
Colorado $63,800 to $177,800
District of Columbia $68,000 to $189,300
Illinois $59,100 to $177,800
Maryland $63,800 to $177,800
Massachusetts $63,800 to $189,300
Minnesota $63,800 to $177,800
New York $66,300 to $205,800
New Jersey $68,000 to $205,800
Washington $80,200 to $189,300

About Accenture
Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
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