Position Overview: We are seeking a highly skilled and experienced Lead Engineer for the Blue Yonder Category Management suite (Space/Flooring Planning, CKB, Data Manager) who drives the execution of multiple technology solutions, business plans, and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans. Solves the most complex tasks across system/business functions. Influence across the organization and across the Enterprise. Job Responsibilities: Leads and directs in large-scale, complex, cross-functional projects by reviewing project requirements; translating requirements into technical solutions; directing and reviewing design artifacts (for example, proof of concepts, prototypes); writing and developing code; overseeing software design; reviewing unit test cases; communicating status and issues to team members and stakeholders; directing project team and cross-functional teams; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery and hand-offs; interacting with the project manager to provide input on project plan; and providing leadership to the project team. Conducts software and hardware requirements reviews, preliminary and critical design reviews, and software acceptance reviews. Ensures objectives are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness. Leads the work of cross-functional groups to deliver assigned Engineering projects by providing pertinent documents, direction, and examples; identifying short and long-term solutions and timelines; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes. Leads the discovery phase of large projects to develop high-level design by partnering with the Product Management, Project Management, Business, and User Experience teams; obtaining cross-function approvals; driving proof-of-concept; and implementing prototypes to validate ideas. Directs root cause analysis of critical business and production issues by reviewing and analyzing information (for example, issue, impact, criticality, possible root cause); directing actions as designated in the plan; interpreting the results to determine further action; directing root cause analysis to prevent future occurrence of issues; and reviewing and approving online documentation. Supports business objectives by collaborating with business partners to identify opportunities and drive resolution; partnering with businesses to define priorities; identifying short- and long-term solutions; and leading cross-functional partnerships. Basic Qualifications: BS Degree in Computer Science or similar. 8+ years of experience with Blue Yonder Category Management solutions (Space/Floor Planning, CKB, Data Manager). Ability to effectively speak to C-level/senior management. Superior understanding of agile development processes and able to use agile practices to drive the team to meet organizational objectives. Able to effectively and concisely express defend complex written verbal thoughts to a wide audience range. Excellent organizational and leadership skills.

Position Overview: We are looking for an experienced Manager Data Engineer to join our dynamic team. This role focuses on managing, supporting delivery and strategic initiatives such as data ingestion, integration, transformation, reporting and analytics. Broadly, it will work with every functional area of data engineering, data science teams multiple Business partners. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Lead the data strategy, and own the vision and roadmap of data products to enable decision making and self-service for business and analytics teams. Solid experience in emerging and traditional data stack components such as: batch and real time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, structured, semi and unstructured databases. Collaborate closely with the Data Engineering and Product team to execute on the set roadmap of data ingestion, integration and data transformation. Work cross-functionally with enterprise-wide stakeholders including (but not limited to) Analytics, Data Science, FPA, Accounting, merchandising, pricing teams. Build a continuous monitoring process and tools to track the data management, data quality, and execute cleaning activities. Track the overall data transformation initiative and provide feedback or suggestions from a risk management perspective. Design, provide training and mentor/coach other team members. Work with stakeholders to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning. Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Basic Qualifications: Bachelor s or Advanced degree in Information Systems, Information Management, Engineering, or related field. 7+ years of experience in data management, data warehousing and handling data engineering. 3+ years of experience in Lead role managing set of engineers including hiring and performance evaluations. 5+ years of Experience in SQL and Snowflake. 3+ years experience on Python. 2+ years of experience in retail domain. 3+ years managing big data technology stack and restful APIs. Good hands-on experience in Airflow and DBT. Good hands on experience in ETL/ELT. Experience with AWS Tools and Technologies (Redshift, S3, EC2, Glue). Expertise with Data modeling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases. Strong knowledge of designing data pipelines and understanding details around orchestration, integration, data transformations. Excellent communication skills, both verbal and written, and the ability to build trust-based relationships with business partners. Technical knowledge in BI tools such as MicroStrategy, Looker. Proven record of handling, managing, collaborating and delivering data products on time and meeting quality standards. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Position Overview: We are seeking a highly motivated and experienced individual to join our team as a contingent worker. The ideal candidate will have the ability to work independently, as well as collaboratively in a fast-paced environment. This position requires someone who is flexible, adaptable, and able to take on new tasks and responsibilities quickly. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities : Perform tasks and complete projects as assigned by the manager or supervisor Communicate effectively with internal partners and other departments as needed Meet project deadlines and maintain a high level of accuracy and attention to detail Ensure adherence to company policies and procedures Basic Qualifications : Proven experience in a similar role Strong organizational and time-management skills Excellent communication and interpersonal skills Ability to work independently and as part of a team Adaptability and flexibility to changing circumstances and priorities Proficiency in relevant systems and technologies Candidate minimum should have 7+ years hand on experience In-depth knowledge of Salesforce s capabilities (both declarative and programmatic) and integration capabilities. Superior knowledge of APEX, Visualforce, Lightning Web Components, Salesforce APIs, and SOQL. Strong understanding of data modeling, security, and performance optimization in Salesforce Experience with Salesforce Service and field service Cloud (application design, architecture and development) Strong leadership skills, with proven experience leading and managing a team. Excellent communication and stakeholder management skills. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Position Overview: We are seeking a highly skilled Salesforce Marketing Cloud (SFMC) Architect with years of experience in SFMC architecture, implementation, and optimization. The ideal candidate will have deep expertise in Journey Builder, Email Studio, Mobile Studio, and Interaction Studio, along with strong experience integrating SFMC with various enterprise systems. ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation. Job Responsibilities: Essential Job Functions The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation. Determines and develops architectural approaches and solutions, conducts business reviews, documents current systems and develops recommendations of how to proceed with the infrastructure design Ensures success of application or infrastructure planning, configuration, and deployments. Evaluates existing or proposed systems and business requirements to develop solutions and technologies to solve the business need within the Enterprise Reference Architecture. Devises or modifies procedures to solve problems considering system and application capacity and limitations, service level agreements and business requirements. Coordinates with other teams and vendors within an application or infrastructure domain to troubleshoot problems, coordinating with department users and system administrators. Responsible for quality assurance reviews of assigned projects and the evaluation and documentation of team procedures, applications, and/or infrastructure. Identifies opportunities for application, code, or infrastructure reuse. Supports the development of software, data delivery, or infrastructure platforms with reusable components that can be orchestrated together into different methods for different business areas. Coordinates architecture implementation and modification activities. Assists in postimplementation and continuous-improvement efforts to enhance performance and provide increased functionality. Ensures the conceptual completeness of the technical solution. Analyzes the current architecture to identify weaknesses and develop opportunities for improvements. Identifies, and when necessary, proposes variances to the Enterprise Reference Architecture to accommodate project or business requirements. Provides strategic consultation to business partners and IT teams. Advises on options, risks, costs versus benefits, system impacts, and technology priorities. Interacts and interfaces with support partners to ensure solutions are architected correctly. Occasionally works with support partners to resolve major issues. Domain Specialization: Skills are specific to the given system, application, or infrastructure domain below. Basic Qualification 7+ years of experience in Salesforce Marketing Cloud architecture and implementation. Hands-on experience with Journey Builder, Email Studio, Mobile Studio, and Interaction Studio. Experience integrating SFMC with CRM, eCommerce, POS, and Data Warehouses (REST/SOAP APIs, ETL, MuleSoft, Snowflake). Proficiency in AMPscript, SSJS, SQL, and Python (preferred) for advanced automation and personalization. Optimize Journey Builder, Interaction Studio, and Einstein AI for customer engagement and conversion optimization. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Position Overview: ShyftLabs is looking for a strong Frontend Developer with 5+ Years of Professional experience in building products and who have an entrepreneurial spirit to work in a fast-paced environment. Were looking for resourceful developers who can solve complex problems and write very strong code. React.js experience is a must-have for this role. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Manage product development, testing, deployment, and support. Develop/Enhance existing applications as per product requirements. Ensure the technical feasibility of UI/UX designs. Optimize applications for maximum speed and scalability. Participate in code reviews and provide constructive feedback. Troubleshoot and debug frontend issues. Keeping up-to-date with the latest trends and best practices in frontend development. Manage individual priorities, deadlines, and deliverables. Work with a small cross-functional team of engineers, PMs, data engineers, and designers. Help the team in documenting changes made in different artifacts. Help team members in the knowledge-sharing session Ability to learn other coding languages as needed. Basic Qualifications: 5+ years of hands-on experience in Frontend and React Technologies. 3+ years of experience with RESTful API and delivering products or services using web technologies. Strong experience with modern frontend frameworks such as React, Angular, or Vue.js. Strong knowledge of HTML, CSS, and JavaScript. Experience with continuous integration and continuous deployment (CI/CD) processes. Experience with client-facing UI development and an eye for design aesthetics. Expertise in debugging complex systems or applications. Version control systems (Git). Preferred Qualifications: Experience within the Retail or E-commerce industry is a plus. Experience with any the following technologies - Express.js, MongoDB, MySQL, Redis, and Docker. Experience working on AWS or Google Cloud Platform. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Position Overview: ShyftLabs is seeking an experienced Databricks Architect to lead the design, development, and optimization of big data solutions using the Databricks Unified Analytics Platform. This role requires deep expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to architect scalable, high-performance data platforms and drive data-driven innovation. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to accelerate business growth across various industries by focusing on creating value through innovation. Job Responsibilities Architect, design, and optimize big data and AI/ML solutions on the Databricks platform. Develop and implement highly scalable ETL pipelines for processing large datasets. Lead the adoption of Apache Spark for distributed data processing and real-time analytics. Define and enforce data governance, security policies, and compliance standards. Optimize data lakehouse architectures for performance, scalability, and cost-efficiency. Collaborate with data scientists, analysts, and engineers to enable AI/ML-driven insights. Oversee and troubleshoot Databricks clusters, jobs, and performance bottlenecks. Automate data workflows using CI/CD pipelines and infrastructure-as-code practices. Ensure data integrity, quality, and reliability across all data processes. Basic Qualifications: Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. 10+ years of hands-on experience in data engineering, with at least 5+ years in Databricks Architect and Apache Spark. Proficiency in SQL, Python, or Scala for data processing and analytics. Extensive experience with cloud platforms (AWS, Azure, or GCP) for data engineering. Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. Hands-on experience with CI/CD tools and DevOps best practices. Familiarity with data security, compliance, and governance best practices. Strong problem-solving and analytical skills in a fast-paced environment. Preferred Qualifications: Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer). Hands-on experience with MLflow, Feature Store, or Databricks SQL. Exposure to Kubernetes, Docker, and Terraform. Experience with streaming data architectures (Kafka, Kinesis, etc.). Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker). Prior experience working with retail, e-commerce, or ad-tech data platforms.

Position Overview: We are seeking an experienced Product Owner to join us here at ShyftLabs. This role will play a key role in shaping our products, and will work closely with cross-functional teams, bridging the gap between business needs and technical execution to ensure our products deliver maximum value to customers. ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Define and communicate the product vision, goals, and roadmap aligned with business objectives. Lead backlog grooming, sprint planning, and review sessions in an Agile/Scrum environment. Act as the primary liaison between business stakeholders, developers, and other teams. Gather and analyze feedback from users, sales, customer support, and analytics to inform product decisions. Clearly communicate product updates, progress, and roadmaps to internal and external stakeholders. Prioritize features and enhancements to maximize value for customers and the company. Own and manage the product backlog, ensuring it is well-defined, prioritized, and up to date. Write clear and concise user stories, acceptance criteria, and technical requirements. Collaborate with engineering, design, and QA teams to ensure high-quality and timely delivery of features. Define success metrics and monitor product performance using data-driven insights. Continuously seek ways to optimize user experience and business outcomes. Drive experimentation, A/B testing, and iteration based on data and user research. Basic Qualifications: 4+ years of experience as a Product Owner, Product Manager, or related role in a tech company. Strong understanding of Agile/Scrum methodologies and software development processes. Experience working with modern tech stacks, SaaS, or digital products. Proven ability to translate business needs into technical requirements and user stories. Strong analytical skills with experience in using data analytics tools. Excellent communication, stakeholder management, and problem-solving skills. Experience working in fast-paced, globally distributed teams. Technical background (CS degree or hands-on experience working with developers). Experience with tools like JIRA, Confluence, Figma, Notion, and Miro. Knowledge of AI, cloud computing, and emerging tech trends. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Position Overview: We at ShyftLabs are looking for an experienced Engineering Manager to join our team and help us build and maintain a world-class data platform. This data team is vital to essential data processes, including financial reporting, machine learning and data science services, logs, and data-driven customer-facing applications. You will collaborate with many different internal and external stakeholders to understand data needs and manage the team, turning those needs into data infrastructure and services. ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation. Job Responsibilities: Lead a Data Science and Machine Learning team working with real-time programmatic ads, ad bidding systems, and various large datasets. Build test and deploy robust prediction models. Enstill engineering best practices for service development and data ingestion platforms. Lead the coordination and development of tools and services to support our compliance commitments requirements. Work with the team to manage data quality across our various ingestion sources. Work with analytics, machine learning infra, and product teams to understand their evolving data requirements and influence the platform roadmap. Qualifications: 5+ years of technical experience in data infrastructure, data engineering, or software development. Experience in long-term management of data platforms is a big plus. 2+ years of experience in people management with a track record of building teams and growing talent. Strong proficiency with both ML frameworks and MLOps (TensorFlow, PyTorch, MLflow, etc). Extensive experience with AWS, Python, Airflow, and BigQuery. Experience launching large-scale data ingestion pipelines. Experience in designing scalable architectures and processes. Experience working with senior stakeholders, both technical and non-technical, with cross-functional collaboration. Experience working within the retail industry or the adtech industry is a plus. We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.