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Solution Engineer & Technical Project Manager at NTT DATA Romania. Location Information: Remote, RO. . Who we are. . . . We are seeking a highly skilled and proactive IT Technical Project Manager & Solution Engineer to lead complex, data-intensive projects from conception through delivery. This role demands a unique combination of hands-on technical expertise in big data and data wharehouse platforms, strategic planning, and agile project management. You will work closely with data engineers, architects, business stakeholders, and cross-functional teams to build scalable, efficient, and reliable data solutions.. . . . What you'll be doing. . . . . Manage and oversee daily activities of the data warehouse, including image creation, . ETL. /ELT processes, data loads, performance monitoring, and troubleshooting.. . Proactively engage with the needed stakeholders to address security and complaince topics.. . Provide hands-on support and development in managing data . pipelines. , SQL optimization, and data validation processes.. . Collaborate with data engineering, analytics, BI, and infrastructure teams to ensure seamless data availability and accuracy.. . Proactively monitor and optimize warehouse performance, ensuring uptime, scalability, and cost-efficiency. . Develop and enforce best practices for data quality, governance, backup, and disaster recovery.. . Create and maintain documentation for data workflows, data dictionaries, operational procedures, and technical designs.. . Participate in and lead root cause analysis efforts to identify and resolve data-related issues quickly.. . Evaluate and implement new tools, automation scripts, or practices that improve the reliability and efficiency of warehouse operations.. . Lead end-to-end project lifecycle of big data solutions, ensuring timely delivery and alignment with business goals.. . Define project scope, timelines, resources, milestones, and deliverables.. . Coordinate and collaborate with cross-functional teams, vendors, and stakeholders.. . Apply Agile/Scrum or other project management methodologies to drive iterative development and continuous improvement.. . Manage risks, issues, and dependencies across project phases.. . Architect and implement big data solutions using platforms such as Hadoop, Spark, Kafka, Hive, and cloud-native technologies (e.g., AWS, Azure, GCP).. . Develop and optimize ETL/ELT pipelines and data integration strategies.. . Design scalable data architectures and storage solutions that support analytics, machine learning, and real-time data processing.. . Ensure data quality, security, and compliance standards are met.. . Conduct code reviews and guide development best practices across teams.. . . . . What you'll bring along. . . . . Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.. . Minimum 3-5 years of experience in big data engineering or solution architecture and project management or technical leadership role.. . Strong experience with Apache Spark, Kafka, or similar technologies.. . Proficiency with cloud platforms (AWS, Azure) and modern data tools (Syanpse/Fabric, Databricks, Snowflake, etc.).. . Expertise in data modeling, data lakes, and data warehouses.. . Hands-on experience with CI/CD pipelines, Git, Jenkins, or similar DevOps tools.. . Knowledge of programming languages: Python, Scala, Java, or SQL.. . Background in data governance, security, and compliance (e.g., GDPR, DORA...).. . Familiarity with agile methodologies and incident management systems (e.g., Jira, PagerDuty).. . Experience in financial services or telecom domains.. . Familiarity with data governance frameworks and tools (e.g., IDMC/Informatica). . Strong communication, leadership, and stakeholder management abilities.. . Familiarity with model driven approaches to guide and automate the design, development, and maintenance of software systems. (and tools like DBT Cora/Platform). . Excellent command of both spoken and written English.. . .