• Gather, document, and prioritize jobs, pipelines, and HQL queries in Cloudera, mapping dependencies, data volumes, SLAs, and Shell Script routines. • Redesign pipelines for AWS (Athena, Glue, EMR, Step Functions, Lambda), defining data modeling in Amazon S3 (raw, trusted, refined zones) and Amazon Redshift. • Implement ETL pipelines in AWS Glue with code versioning, applying automation via Infrastructure as Code (Terraform or CloudFormation). • Ensure best practices for partitioning, cataloging (Glue Data Catalog), optimized formats (Parquet/Iceberg), and rigorous pre-production data parity validation (reconciliation). • Lead cutover windows, manage rollback plans, provide post-migration hypercare support, and document runbooks for knowledge transfer.

Role Description A Cloud Services Project Coordinator at OpenText is more than a project support role; it is an opportunity to be at the center of delivering innovative cloud, CAD, and PLM solutions that help customers accelerate engineering excellence and digital transformation. As a key contributor, you will connect clients, technical consultants, sales teams, and support resources to ensure successful service delivery, exceptional client experiences, and seamless adoption of critical engineering and product lifecycle management technologies. Your ability to coordinate projects, optimize resources, and build strong client relationships will directly contribute to client success and operational excellence. What the Role Offers - Coordinate the successful delivery of cloud, CAD, and PLM professional services, ensuring projects are scheduled, staffed, and executed efficiently to meet client expectations. - Serve as a primary point of contact for clients, maintaining strong relationships through proactive communication, scheduling, contract reconciliation, contact management, and responsive client support. - Partner with clients and technical consultants to facilitate project engagements, support service adoption, and drive successful outcomes throughout the customer lifecycle. - Contribute to pre-sales activities by participating in customer discussions, gathering requirements, conducting research, and assisting with solution recommendations that align with client needs. - Support Help Desk operations by evaluating, prioritizing, and coordinating customer requests while ensuring inquiries are tracked and resolved through completion. - Collaborate with cross-functional teams including Sales, Professional Services, and Technical Support to deliver an exceptional client experience and ensure operational effectiveness. - Identify opportunities for process improvement, support team development initiatives, and contribute to the optimization of service delivery practices and internal workflows. - Stay current with emerging technologies and industry trends while supporting technical leadership in improving resource utilization and overall service performance. Qualifications - Associate degree or equivalent combination of education and relevant professional experience. - 5+ years of experience supporting CAD, PLM, cloud, or engineering software solutions, preferably within an automotive or manufacturing environment. - Proven ability to coordinate professional services engagements, including project scheduling, resource planning, client communications, contract reconciliation, and service delivery support. - Experience serving as a primary client contact, providing exceptional customer service, managing stakeholder relationships, and ensuring successful project execution. - Ability to support pre-sales activities through client interviews, requirements gathering, research, and solution recommendation activities. - Experience coordinating technical support or help desk activities, including prioritizing requests, assigning work, tracking progress, and ensuring timely issue resolution. - Strong organizational, problem-solving, and multitasking skills with the ability to manage multiple projects and competing priorities in a fast-paced environment. - Excellent verbal and written communication skills, proficiency with Microsoft Office applications (Word, Excel, PowerPoint, Project, and Visio), and a commitment to continuous improvement and ongoing technology learning. Benefits - Thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. - Variable and commission compensation opportunities for eligible roles. - Vacation entitlement and paid time off. Compensation Salary Range: $53,800 - $80,800 USD per annum; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted. AI Usage Disclosure As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.

• Develop and maintain solutions for LATAM operations • Build pipelines and automate processes • Evolve the data platform • Use AWS technologies to ensure reliable and scalable data

• Drive scope definition, requirements analysis, data and technical design, pipeline build, product configuration, unit testing, and production deployment • Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in common cloud infrastructure • Design reusable assets, components, standards, frameworks, and processes to accelerate and facilitate data integration projects • Develop data integration and transformation jobs using Python, SQL and ETL /ELT tools • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Build processes supporting data transformation, data structures, metadata, dependency and workload management • Develop and implement scripts for data process maintenance, monitoring, and performance tuning • Test and document data processes through data validation and verification procedures • Ensure delivered solutions meet/perform to technical and functional/non-functional requirements • Provide technical guidance and mentorship to junior engineers, ensuring best practices in data engineering