• Help with optimization, support and deployment of cloud-based data systems • Build secure, scalable, and compliant database solutions using Azure SQL Server and other cloud-native technologies • Support the evolution of analytics lakehouse and all of its data sources • Ensure compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations

This position will be involved in: • Implement integration of large, diverse, ERP data sets into our enterprise data lake and data warehouse, in conformance with enterprise architecture and design patterns • Design, document, and develop the architecture of data projects in IT, including data flow diagrams, data models, logical & physical solution architectures, data dictionaries, data maps and data catalogs. Collaborate with both business and IT users • Collaborate & work closely with analysts, stakeholders and cross-functional teams • Innovate & adapt new technologies to improve our data infrastructure • Optimize existing processes for performance and scalability • Implement & Monitor enterprise data quality checks and audits • Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player #LI-P1 - #LI-PR1 We are looking for someone with the following experience: • 5+ years of relevant experience in a data engineering role with a focus on building data integration solutions in an enterprise environment • 5+ years of experience with a standard integration tool (SSIS, Informatica, Jitterbit, etc.) • Experience working with ERP data (Dynamics AX, SAP, Oracle Financials, etc.) • Qualification in Computer Science or Information Systems, Engineering or related field is preferred • Expert level skills in SQL and other Snowflake relevant languages such as Python • Strong understanding of ETL concepts, Data warehousing concepts, GIT and CI/CD practices • Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred • Excellent problem-solving skills and attention to detail • Experience with common modern ingestion tools • Experience with visualization tools like PowerBI or equivalent • Strong communication and collaboration skills, with the ability to work effectively in a remote team environment • Ability to provide technical leadership experience to junior team members WHO IS VONTIER Vontier (NYSE: VNT) is a global technology company powering the way the world moves. We empower businesses in the transport sector to adapt to a fast-changing landscape by uniting productivity, automation and multi-energy technologies. Our smart, connected solutions serve roadside convenience retail stores, fleet operators, and auto repair technicians. From integrated payments and EV charging software to carwash technology and retail automation, we help customers stay productive and prepared for a rapidly evolving industry. With decades of expertise and a balanced portfolio, Vontier enables businesses to navigate complexity, unlock growth, and build a cleaner, safer future. Driven by continuous improvement and the dedication of Team Vontier, we empower businesses to think bigger, act boldly, and thrive on the road ahead. Learn more at www.vontier.com #LI-P1 - #LI-PR1 -

• Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across the organization's core domains • Establish and govern data standards, naming conventions, schema design principles, and modeling best practices used by Data Engineering and Analytics Engineering teams • Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across Decision Science, Data Science, and self-service consumption • Partner with the Product Data team to align on shared architectural standards, data contracts, and platform decisions—acting as a peer and collaborator, not a dependency • Evaluate and advise on data platform and tooling decisions (cloud data warehouses, lakehouse patterns, orchestration, metadata management, cataloging) • Identify and resolve architectural gaps, redundancy, and data quality risks across the data estate • Contribute to—and in many cases lead—the development of a business glossary, data catalog, and enterprise ontology for key data domains • Act as a senior advisor to Data Science on data availability, feature engineering infrastructure, and model data requirements • Collaborate with Decision Science leadership to ensure analytical data models are structured for performance, clarity, and governed self-service • Champion data governance, lineage, and observability as first-class architectural concerns • Mentor and guide engineers and analytics engineers on architectural patterns and data modeling best practices

Matrix Global Services About the Role Matrix Global Services is expanding its offshore data engineering practice and is seeking a Senior Data Engineer with strong, hands-on technical expertise. This is a highly engineering-focused role for a self-driven professional who thrives in a fast-paced consulting environment, takes full ownership of deliverables, and communicates effectively with both technical teams and business stakeholders. In this role, you will design, build, and operate scalable data platforms and pipelines for enterprise clients across multiple industries, leveraging modern cloud and lakehouse architectures including Databricks, Azure, and AWS. Core Technical Skills - SQL & Python - Databricks (Spark / Delta Lake / Unity Catalog) - Apache Airflow - Azure & AWS Cloud Platforms - Data Modeling (Lakehouse / Medallion Architecture) - Strong Analytical & Critical Thinking Key Responsibilities - Design, implement, and maintain robust ETL/ELT pipelines using Databricks and Apache Airflow - Develop and support data models across Bronze, Silver, and Gold medallion layers - Write efficient, maintainable SQL and Python code for data transformation and analytics - Build and manage scalable data workloads on Azure and/or AWS cloud environments - Collaborate closely with data architects, analysts, and client stakeholders to translate business needs into technical solutions - Monitor pipeline health, troubleshoot issues, and drive continuous improvements in performance and data quality - Produce clear documentation, including technical designs, data lineage, and operational runbooks - Operate with a high degree of autonomy — proactively identifying risks, blockers, and solutions without dependency Required Qualifications - 4+ years of hands-on data engineering experience in a professional or consulting environment - Strong proficiency in SQL and Python for pipeline development and data transformation - Practical experience with Databricks, including Delta Lake, Spark, Unity Catalog, notebooks, and Jobs - Proven experience orchestrating workflows using Apache Airflow (DAG design, scheduling, monitoring, error handling) - Cloud experience with Azure (ADF, ADLS, Synapse) and/or AWS (Glue, S3, Redshift) - Strong data modeling capabilities (dimensional, relational, lakehouse patterns) - Demonstrated ability to work independently with minimal supervision in a remote, offshore setup - Clear written and verbal communication skills; comfortable participating in client-facing discussions - Excellent problem-solving and critical-thinking abilities, especially in ambiguous or evolving environments Nice to Have (Bonus Skills) - Experience with systems architecture and data connectivity, including APIs, event streaming, and integration patterns - Power BI experience (semantic models, DAX, reporting, Direct Lake) - Front-end or data product UI experience using JavaScript, React, or similar frameworks Why Matrix - Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest and most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Security, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. - We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. - Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit: www.matrix-ifs.com Requirements null