• Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments. • Manage and optimize data platforms using services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM. • Implement and orchestrate workflows with Apache Airflow for large-scale data processing and analytics. • Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL. • Collaborate with cross-functional teams to deliver secure, scalable, and highly available data solutions. • Support CI/CD pipelines and deployment automation for data platform workflows, especially with CodeBuild, Jenkins, and GitHub Actions. • Architect and maintain lakehouse storage layers on S3 using Apache Iceberg and/or Delta Lake table formats. • Manage AWS Glue Data Catalog, crawlers, and Lake Formation permissions for data governance and access control.

Role Description We are looking for a Senior Data Product Owner to lead the delivery and strategic development of data-driven products and platforms. This role will bridge the gap between business needs and technical implementation—owning the product lifecycle, translating business requirements into data solutions, and ensuring the integrity of data models and analytics pipelines, especially within the Azure ecosystem. - Define and prioritize the product backlog for data-driven initiatives, focusing on measurable business outcomes. - Act as a key liaison between business stakeholders, data engineers, data scientists, and analytics teams. - Lead data product development using Agile methodologies, driving sprint planning, backlog grooming, and stakeholder reviews. - Analyze complex business requirements and translate them into scalable data models and solutions. - Drive the design and validation of robust data models, ensuring high data quality and consistency. - Collaborate with Azure data platform teams to deliver secure, efficient, and scalable cloud-based data solutions. - Monitor and measure the performance of data products, ensuring alignment with KPIs and business goals. - Champion data governance, quality, and compliance practices across all stages of the product lifecycle. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. - 6+ years of experience in Data/Analytics/BI roles, with 3+ years in a Product Owner or Business Analyst capacity. - Strong understanding of data modelling (relational, dimensional, and modern NoSQL/data lake concepts). - Hands-on experience with Azure Data Services (Azure Data Factory, Azure Synapse, Azure SQL, Data Lake, etc.). - Proven track record of gathering, documenting, and prioritizing business and technical requirements. - Proficiency in tools like Power BI, SQL, and Azure DevOps/JIRA. - Strong stakeholder management, analytical thinking, and problem-solving skills. - Agile/Scrum certification is a plus (e.g., CSPO, SAFe PO/PM). Company Description At ProArch, we partner with businesses around the world to turn big ideas into better outcomes through IT services that span cybersecurity, cloud, data, AI, and app development. We’re 400+ team members strong across 3 countries (we call ourselves ProArchians)—and here’s what connects us all: - A love for solving real business problems. - A belief in doing what’s right. What’s it like to work here? - You’ll keep growing. You’ll work alongside domain experts who love to share what they know. - You’ll be supported, heard, and trusted to make an impact. - You’ll take on projects that touch industries, communities, and lives. - You’ll have the time to focus on what matters most in your life outside of work. At ProArch, you’ll be part of teams that design and deliver technology solutions solving real business challenges for our clients. With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business-critical systems, or supporting cloud migrations and infrastructure modernization. Every role here contributes to shaping outcomes for global clients and driving meaningful impact. You’ll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose. You’ll join a culture rooted in technology, curiosity, and continuous learning. A place where we move fast, trust you to make an impact, encourage innovation, and support your growth.

• Participate in S/4HANA migration and transformation projects • Support the analysis, preparation, and migration of data • Assist with the configuration and use of SAP migration tools and our Natuvion migration suite • Support client projects from requirements gathering through to implementation • Prepare for and support workshops and project meetings

• Build and maintain robust data pipelines processing large volumes of data • Update and optimise our data platform for speed, scalability and cost • Coordinate with different functional teams to understand and meet their data needs • Develop processes and tools to monitor and analyse model performance and data accuracy • Solve general data-related problems