Job description

What will you be doing? - Developing and executing a roadmap for the data infrastructure, aligning it with the company's overall business goals. - Overseeing the execution of data infrastructure projects, ensuring they are delivered on time and within budget. - Lead data architecture efforts for large-scale modernization initiatives. - Oversee and execute data migration strategies, tools, and documentation. - Design and implement centralized databases and data warehouse solutions. - Ensuring the data infrastructure is highly performant and scalable to meet the growing needs of the organization. - Evaluating and recommending appropriate technologies for data storage, processing, and analytics. - Develop complex SQL queries and support ETL/data delivery processes. - Analyze CRM, ERP, and legacy data systems. - Collaborate on data governance, master data management, and cleansing. - Create and maintain data models for reporting purposes. - Utilize modern reporting tools (such as Power BI, Tableau) for data visualization. - Optimize performance baselines and support infrastructure planning. - Designing, implementing, and optimizing data storage, processing, and access layers. - Ensuring the data infrastructure adheres to relevant data privacy regulations and security best practices. - Working with various stakeholders and business users to understand their data needs and ensure the infrastructure effectively supports their requirements. - Provide ongoing weekly project reports and technical support. - Maintain clear communication with project managers, stakeholders, and technical teams. What experience and qualifications should you have? - Bachelor’s degree in Computer Science, Information Systems, or a related field (Masters preferred). - Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Azure Data Engineer, AWS Certified Solutions Architect – Data Analytics) are a plus. - 4-6 years of experience in the Software-as-a-Service (SaaS) industry. What skills and abilities should you have? - Hands-on experience with data warehouse planning and implementation. - Proven expertise in ETL scripting, transformation logic, and performance tuning. - Strong skills in SQL, database lifecycle management, and technical documentation. - Familiarity with data governance, master data management, and data cleansing practices. - Excellent communication and interpersonal skills to collaborate effectively with diverse teams. - Proven ability to lead and motivate teams, manage projects, and influence stakeholders. What other requirements should you have? - Demonstrated ability to manage complex data environments, including data integration, data quality management, and metadata management. - Ability to identify and resolve complex technical issues related to data infrastructure. - Knowledge of machine learning and AI concepts. - Familiarity with Microsoft Fabric, Microsoft Purview, Salesforce, NetSuite, Marketo, etc. - Experience working in Agile environments, participating in sprint planning, and collaborating with cross-functional Agile teams. - Strong problem-solving skills, analytical thinking, and the ability to translate business requirements into technical solutions. Your Alignment with our Gurobi Core Values: - Customer Focus: Verbal & written communication skills that bring clarity and build trust. - Power of the Team: Motivated with a team-oriented mindset that aims to both inspire and be inspired by others. - Innovation: The courage to bring ideas forward and see yourself as an integral part of our global team. - Dedication: Organized and agile, focusing on meeting professional objectives while promoting a healthy work/life balance. - Integrity: Promise to uphold honesty as your compass and conduct all business practices with an ethical mindset and fiscal responsibility.

Requirements