Director of Software Engineering, Data Engineering

4 weeks ago

hyderabad, India JPMorgan Chase & Co. Full time

As a Director of Software Engineering at JPMorgan Chase in Enterprise Technology, you lead multiple technical areas, manage the activities of multiple functions, and collaborate across technical domains in Data Management. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, and technological advances.

Job responsibilities

Leads multiple technology and process implementations across departments to achieve firmwide technology objective and will provide leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives and Manage multiple stakeholders, complex projects, and large cross-product collaborations Coach to help others learn, grow and achieve Foster feedback. Guide and support career growth Design and implement end-to-end capabilities aligned to product strategy and roadmap with exposure to Architect, design, and implement cloud native solutions on AWS and Ability to decompose large initiatives / designs into manageable smaller bodies of work to demonstrate continuous progress Collaborate with business stakeholders, product owners, architects, data domain owners to understand current landscape and develop solutions in alignment with business & technology strategy. Assist in refining /evolving data strategy highlighting clear outcomes. Deep understanding and desire to continue to learn new technologies, native services and new vendors in this space and Understanding of the pros / cons associated with various technology choices and ability to pick the right technology based on the use case

Required qualifications, capabilities, and skills

Experience in developing or leading large or cross-functional teams of technologists should have demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale Experience leading complex projects supporting system design, testing, and operational stability with experience with hiring, developing, and recognizing talent Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field and a formal training, or certification on data engineering concepts, and 5+ years of experience in the Data space. In addition, demonstrated coaching and mentoring experience  Programming experience in Java, Python, Scala etc. Experience in using distributed frameworks like Spark, Hadoop etc. with experience with AWS services like Lambda, EC2, EMR, Redshift, Glue, S3, IAM, RDS, Aurora, DynamoDB etc. and Knowledge of cloud networking, security, storage, and compute services  Infrastructure provisioning experience using Cloud Formation, Terraform etc. Experience implementing solutions leveraging CI / CD etc. and experience in working in a product operate model and use of tools like Jira, Jira Align, etc

Preferred qualifications, capabilities, and skills

AWS Solutions Architect / Developer or any advanced level certification preferred Experience and proficiency across the data lifecycle

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