13+ years of experience · Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake. · Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise. · Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. · Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals. · Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions. · Drive automation, data quality, and best practices across all data engineering processes and solutions. · Ensure robust data governance, security, and compliance throughout the data lifecycle. · Manage stakeholder relationships, communicate project status, and proactively address risks and challenges. · Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.
Required Technical Skills: · 13+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions. · Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines. · Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools. · Strong hands-on experience with Python, Shell scripting, and workflow automation. · Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases. · Proven ability to lead, motivate, and develop high-performing teams. · Strong domain and functional knowledge in finance, investment banking, or related industries. · Excellent problem-solving, analytical, and communication skills. · Experience managing stakeholder relationships and delivering complex projects in a global environment. · Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.
Additional Skills (Good to Have): · Familiarity with Power BI, Apache Airflow, and OLAP tools. · Exposure to regulatory and financial reporting requirements. · Demonstrated track record of driving innovation and GenAI adoption in data engineering projects. · Passion for continuous learning, business impact, and solution-oriented leadership.
Information
Locations Position Open to Only localsIndustry OthersStatus OpenJob Age 11 Day'sCreated Date 03/04/2026No.of Positions 1Duration 9 monthsZip Code
