Senior Engineering Lead, Big Data Engineering & Regulatory Platforms

• Lead and guide a core technology team responsible for developing and maintaining regulatory reporting frameworks, with a focus on leveraging big data solutions like Hadoop, Hive, Spark, and Data Bricks.
• Lead architecture governance process including architecture review boards, technology assessments, and conformance to key design principles
• Build and maintain big data pipelines using technologies such as Apache Hadoop, Apache Kafka, Databricks and other cloud based big data tools.
• Establish best practices for big data architecture including data governance, security and meta data requirement.
• Evaluates and tests potential architecture solution designs to ensure they meet functional and non-functional requirements
• Design, develop, and implement an end-to-end robust, scalable framework that addresses critical business needs, with a particular focus on regulatory compliance and reporting, performance ,security , reliability and operational efficiency , incorporating AI-driven solution.
• Evaluate different technical options, conduct comparative analyses, and present clear recommendations to senior stakeholders.
• Apply in-depth domain knowledge of financial services to comprehend complex business problems and develop appropriate solution options.
• Drive opportunities for efficiency gains, enhanced controls, and extendable scalability through innovative architectural solutions.
• Articulate and demonstrate architectural vision through various architectural artifacts.
• Collaborate with high-performing teams to design enterprise-wide solutions across business, technical, and data architecture domains.
• Engage with key stakeholders, including operations teams, product teams, and application development teams across different Lines of Business (LoBs) and functions, ensuring global engagement and alignment.
• Provide technical leadership , mentoring junior engineers and fostering culture of innovation.

• 10+ years of proven experience in a senior-level architectural and engineering role
• 5+ years experience in leading large scale enterprise architecture initiatives within banking, financial services industry
• Experience with cloud platform (eg. AWS ,Azure ,GCP) in combination with big data technology such as Hadoop, Hive, Spark, and Data Bricks.
• Knowledge of machine learning and advance analytical within big data environments.
• Strong decision making, forward thinking and creative problem-solving skills to anticipate and respond quickly to technological/market influences
• Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
• In-depth domain knowledge of financial services.
• Demonstrable commitment to architectural simplification, building sustainable, and future-ready platforms.
• Results-oriented, innovative, and motivated individual.
• Excellent communication and presentation skills for engaging with senior stakeholders.
• Ability to work effectively in a global, multi-stakeholder environment.
• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

Master's degree preferred

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays