The Staff Software Engineer will design scalable data pipelines, ensure data integrity, develop data models for AI-driven features, mentor engineers, and modernize legacy data systems.
Provi is transforming the wholesale alcohol industry with a leading B2B digital marketplace. We’re looking for a Staff Software Engineer to join our Data Platform Team to build the foundation for analytics, operational intelligence, and AI-powered experiences. This role is ideal for an experienced engineer passionate about building resilient, high-scale data infrastructure and enabling the next generation of data-driven and machine-learning applications.
If you have a passion for Data Platform Engineering, AI-Ready Infrastructure, Platform Modernization & Architecture, and Technical Leadership, apply and let's connect!
What You’ll Be Doing
- Design, build, and maintain scalable, cloud-native data pipelines for batch and streaming workloads using modern tools like Airflow, Kafka, and dbt.
- Ensure data reliability, observability, and trust through robust monitoring, testing, and quality enforcement.
- Build data models and infrastructure that serve analytics, business operations, and AI/ML workloads.
- Partner with ML, analytics, and product teams to support the deployment of AI-powered features, from data ingestion to feature engineering and model serving.
- Develop infrastructure that enables reproducible ML workflows and data versioning, in collaboration with Data Science and ML Engineering.
- Build systems that power intelligent search, personalized recommendations, dynamic pricing, and other predictive features.
- Lead efforts to modernize our legacy data systems into modular, scalable, and cost-effective architectures using technologies like Snowflake, S3, Glue, and Redshift.
- Define and drive best practices around data governance, privacy, and access control.
- Champion data discoverability and self-service access across internal teams.
- Working closely with the VP of Engineering to provide architectural guidance across the engineering organization for high-scale data solutions.
- Mentor team members and promote engineering excellence through code reviews, knowledge sharing, and system design.
- Evaluate and introduce emerging tools, frameworks, and patterns that align with our AI and data strategy.
What We’re Looking For
- 8+ years of experience in software/data engineering, with a focus on distributed systems, data platforms, or cloud infrastructure.
- Demonstrated success leading large-scale data infrastructure initiatives and mentoring engineers.
- Experience supporting analytics and ML workflows in a production environment.
- Proficient in Python and SQL; familiarity with JVM-based languages is a plus.
- Strong understanding of streaming and batch processing frameworks (e.g., Kafka, Spark, Airflow).
- Experience with modern data stack tools (e.g., dbt, Snowflake, Redshift, S3, Glue).
- Familiarity with AI agent workflows, including orchestration of multi-step, goal-driven agents using tools or frameworks like LangChain, Semantic Kernel, or custom-built solutions, is a plus.
- Deep understanding of data architecture patterns, including event-driven systems, data lakes, and warehouse modeling.
- Proven ability to lead cross-functional initiatives with Product, Data Science, and Engineering.
- Excellent communication skills and a collaborative, pragmatic mindset.
- Comfortable working in an Agile environment with CI/CD pipelines and DevOps practices.
Make an impact: Work directly with the management team to help grow the business.
Find your groove and grow: Provi keeps growing and you should too. Expand your skill set, diversify your experience and develop along with us.
Enjoy competitive benefits: Health, Dental, Vision, 401(k) with match, Commuter Perks, Long/Short Term Disability, Employee Assistance Program, Unlimited PTO, and Parental Leaves.
Be a part of something big: Join a dynamic and innovative team that is working to change a major industry.
Provi is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you're a qualified candidate with a disability and you need a reasonable accommodation in order to apply for this position, please contact us at [email protected].
Top Skills
Airflow
Dbt
Glue
Kafka
Python
Redshift
S3
Snowflake
SQL
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