Job
Description
As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organizations strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Job responsibilities Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firmwide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills Bachelors or Masters degree in Computer Science or related field with 10+ years of experience. 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, and operational stability. Expertise in architecture disciplines and programming languages. Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, eg streaming, ELT/ELT, event processing. Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, eg Snowflake, Athena, Postgres Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills Financial services experience, especially in card and banking. Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc using data mesh & data lake. Business architecture knowledge and experience with architecture assessment frameworks.
