• You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery). • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients. • Modelling the data from various sources and technologies. Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. • Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations. • Train and mentor less experienced data engineers, providing guidance and knowledge transfer.

Role Description We're seeking a Full Stack Engineer - II to join our Engineering team and play a pivotal role in building the core automation engine that powers CODVO.AI's data intelligence platform. You'll be the primary owner of our Python codebase while collaborating with senior developers to architect data ingestion, standardization, and matching logic that transforms complex business processes. This is an opportunity to make a direct impact on a product that helps organizations automate critical data workflows. - Develop and maintain the Python codebase for the core automation engine, including data ingestion pipelines, standardization logic, and matching algorithms - Design and implement ETL middleware solutions that process, validate, and transform data from multiple sources with high accuracy and performance - Build Excel and PDF output pipelines using pandas, openpyxl, and xlsxwriter to generate comprehensive reports and reconciliation documents - Create responsive frontend components using React.js that enable users to interact with automation workflows and visualize results - Translate business rules into scalable code by collaborating with stakeholders to understand matching scenarios, reconciliation logic, and classification requirements - Write comprehensive unit tests using pytest to ensure code quality, reliability, and maintainability across the full stack - Document matching rules and reconciliation scenarios based on stakeholder discussions, serving as a bridge between technical implementation and business requirements - Collaborate with senior developers to architect solutions that balance performance, scalability, and maintainability Qualifications - 3+ years of professional software development experience - 2+ years of hands-on Python development with proven production experience - Strong expertise with pandas, openpyxl, and xlsxwriter for data manipulation and report generation - Solid experience building user interfaces with React.js - Proficiency with unit testing frameworks (pytest) and version control systems (Git) - Ability to translate complex business requirements into clean, maintainable code - Strong problem-solving skills and attention to detail - Excellent communication skills and ability to work collaboratively in a distributed team Requirements - Experience with SQLAlchemy for ORM and database abstraction - PostgreSQL database design and optimization experience - Familiarity with Tableau or other business intelligence tools - Experience with ETL frameworks or data pipeline orchestration - Knowledge of API development and REST principles - Exposure to CI/CD practices and DevOps tools - Background in financial reconciliation or data matching domains

Title: Principal Data Architect-Remote Job Description: ob Ref: 174909 Location: Providence, RI 02903 Location Flexibility: Remote Category: IT Job Type: Full-time Job Status: Exempt Pay Basis Yearly Pay Range $131400.00 - $253600.00 Annually ($63.17 - $121.92 Hourly) Brand UNFI Compensation Range- $180,000-$200,000 Job Overview: The Principal IT Solutions Data Architect leads end-to-end data architecture on AWS, leveraging Databricks for computing, governance, and platform evolution, defines data product patterns, domain models, and best practices, partnering with engineering, analytics, security, and business teams to deliver resilient, high-performance, governed data solutions. What does it mean to be part of the Information Technology Team? A role in Information Technology at UNFI involves being a part of the transformation of food for all through many innovative technology products such as myUNFI, our customer ordering platform or our warehouse management systems that optimize service. You will have an opportunity to be a part of the technology journey to transform food for all through collaboration and building solutions across teams that directly contribute to our OneUNFI strategy. Roles include network automation, infrastructure unification and modernization, data services and analytics, and digital offering. Job Responsibilities: Enterprise Architecture - Own the enterprise data architecture vision and roadmap across batch, streaming, ML, and BI workloads on AWS + Databricks. - Establish reference architectures, canonical models, and standards for medallion/Lakehouse design (Bronze/Silver/Gold), Delta Lake, Unity Catalog, and data product contracts. - Lead design for high throughput ingestion (CDC, streaming, file, API) and domain data products (supply chain, commercial, finance) with SLOs for freshness, quality, and cost. - Define governance-by-design: data classification, lineage, access patterns (attribute- and purpose-based), privacy, retention, and audit using Unity Catalog and AWS services. - Architect scalable, cost-efficient processing: autoscaling clusters/SQL warehouses, optimized Delta design (Z-Order, OPTIMIZE, clustering), photon-aware pipelines, job orchestration. - Drive interoperability with SAP: define patterns for SAP extract/CDC (e.g., ODP, SLT, SDI), model alignment with SAP Business Data Cloud/Datasphere, and harmonized semantics. - Design and review near real-time data flows (Spark Structured Streaming, Delta Live Tables, Auto Loader, Kafka/Kinesis/MSK) for operational analytics and event-driven use cases. - Champion data quality/observability: great expectations/Deque, Delta expectations, lineage, and SLAs with incident management and FinOps guardrails. - Partner with InfoSec to implement platform security: IAM, Lakehouse permissions, token/secret management, private networking, encryption, and data masking tokenization patterns. - Collaborate with analytics and data science to productionable features, ML/AI workloads, and vector/semantic search where appropriate, ensuring reproducibility and MLOps readiness. Strategic Leadership and Coaching - Provides strategic advice on project costs, design concepts, or design changes included risks and assessment of decisions - Communicate project information to senior stakeholders that includes technical reporting and high visibility presentations - Train data engineers in new concepts and AI knowledge Job Requirements: Education/ Certifications: - Bachelor’s degree in computer science, systems analysis, or a related study. Experience: - 10+ years in data architecture, including 5+ years designing at enterprise scale in cloud data platforms. - Hands-on expertise with Databricks (Delta Lake, Unity Catalog, SQL Warehouses, Spark, DLT/Workflows, ML Stack) and AWS core services (S3, Glue, Lambda, EMR or MSK/Kinesis, Step Functions, IAM, CloudWatch). - Strong data modeling experience across operational, analytical, and semantic layers: 3NF, data vault, dimensional/star, and data product contract design with tools like Erwin, ER Studio. - Proven track record building resilient streaming and batch data pipelines with performance tuning, cost optimization, and observability. - Experience with SAP Business Data Cloud (SAP Datasphere) and SAP data integration (ODP/SLT, CDS views, BTP services), or prior SAP BW/ERP data models. Knowledge/Skills/Abilities - Deep understanding of governance, security, and privacy: RBAC/ABAC, PII handling, masking/tokenization, retention, lineage, and access approvals. - Presentation skills that include all levels within organization - Excellent stakeholder engagement; ability to convert business outcomes into clear architecture options and trade-offs; strong documentation and standards leadership. - Familiarity with ML/AI on Databricks (Feature Store, Model Serving, vector search) and MLOps patterns (CI/CD, model lineage, governance). - Exceptional interpersonal skills in areas such as teamwork, facilitation and negotiation - Good judgment is required for this position as there may be times when direct supervision may not be immediately available. Work Environment: Remote Role: - This position is classified as remote where the associate will perform remote work from their primary residence. Remote associates are welcome to work from the office but are not required to do so. While remote associates are not required to work from an office on a regular basis, they may be required to come to the office or other UNFI locations for necessary business reasons or if directed to do so by their manager. About UNFI: We are North America’s premier grocery wholesaler, delivering the widest variety of fresh, branded, and owned brand products to community grocers and retail chains alike. A pioneer in natural and organic foods, we are growing and transforming to meet the needs of an evolving workplace. Our 29,000+ employees work across America in our 50 Distribution Centers and corporate offices. Learn more: Organic, Natural and Conventional Food | Wholesale Food Distributors | UNFI Benefits: Competitive 401k, Flexible PTO, Remote, Health benefits – first of the month following 30 days of employment, mentorship program/developmental opportunities. UNFI is an Equal Opportunity employer committed to creating an inclusive and respectful environment for all. All qualified applicants will receive equal consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or other protected ground. Accommodation is available upon request for candidates taking part in all aspects of the job selection process. - M/F/Veteran/Disability. VEVRAA Federal Contractor. Company: United Natural Foods Inc. Compensation: UNFI anticipates paying the above-referenced pay rate (or within the above-referenced pay range) for this position. Actual Pay, where applicable, will depend on a number of factors, including, but not limited to, education, experience, training, and any requirements under applicable collective bargaining agreements. UNFI is committed to transparency in pay in compliance with applicable state/provincial and local laws. Candidates hired into this position will also be eligible to participate in the following benefits programs: Paid Time Off; Sick Time; paid holidays and parental leave; 401K Program (or retirement savings plan if in Canada); medical, dental, vision, life, and accidental death/dismemberment insurance; short-term and long-term disability insurance program, Flexible Spending Account and/or Health Savings Account (U.S. only), subject to meeting the eligibility requirements and the terms and conditions of these programs, and subject to any requirements under applicable collective bargaining agreements. Sales Positions Only: For sales positions that are commission-based, the above range is an estimate of total potential commission-based compensation during an associate’s first year, but UNFI offers an introductory period minimum of $680 per week. After the introductory period, as a 100% commission-based role, there is no set salary. UNFI’s commission plans are uncapped and average earnings vary depending on territory and sales achieved, among other factors. UNFI’s compensation, benefits, and paid time off policies are subject to change in the Company’s sole discretion, consistent with applicable law. This job posting should not be construed as an offer of employment with certain terms, nor should it be construed as a guaranteed minimum. Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act or for Canadian applicants in accordance with provincial human rights legislation.

• Lead the design and implementation of innovative data solutions on Snowflake • Set up and maintain ETL pipelines in various architectures • Optimize performance of Snowflake databases • Ensure data quality and integrity across data solutions