Senior/Lead Data Solution Engineer, Meltwater

• Expert-level knowledge of Snowflake, AWS RDS, MySQL, and data modeling
• Demonstrated ability to architect end-to-end scalable cloud data platforms
• Hands-on experience with ETL processes and tools (e.g., Boomi, Pentaho, FiveTran, AirByte)
• Proficient in SQL and Tableau with experience in building data sources and dashboards for high-level business insights
• Strong understanding of data security, compliance, and governance frameworks
• Proven experience in cloud cost optimization and performance tuning
• Capable of leading cross-functional teams and projects in a remote/offshore environment

Desirable

• Lead the design and implementation of innovative, scalable data solutions using Snowflake and other cloud platforms, ensuring the data infrastructure meets current and future business needs
• Oversee the integration of diverse data sources, including third-party tools, to create a cohesive data ecosystem that enhances predictive analytics, AI, and machine learning capabilities
• Continuously improve data architecture to support large-scale operations, enhancing performance and cost-effectiveness while driving data innovation across the organization
• Establish and uphold robust security protocols and compliance frameworks aligned with industry standards and regulations to safeguard sensitive data
• Lead the migration of critical data assets across various platforms and warehouses, ensuring data integrity, security, and minimal downtime throughout the process
• Drive the development of advanced analytics platforms using Tableau and other BI tools, delivering actionable insights and forecasts that facilitate business growth and innovation
• Collaborate with executive leadership and cross-functional teams to define and implement a long-term data strategy that aligns with business objectives, promoting a data-driven culture
• Mentor and develop a team of data professionals, fostering their growth in data architecture, analytics, and leadership while encouraging a culture of continuous improvement
• Explore and implement innovative approaches to data handling and analysis, utilizing cutting-edge cloud technologies and AI/ML integration to keep the organization at the forefront of the analytics industry
• Assume responsibility for large-scale data projects from conception to execution, ensuring they align with strategic business goals and deliver long-term value
• Continuously research and adopt emerging technologies, including advancements in cloud computing, AI, and machine learning, to enhance the organization's competitive edge