Senior Software Engineering Manager - Data

Salary: $61,000 - 101,000 per year Requirements:

• 10+ years of professional experience, including at least 4 years in a people leadership position.
• Experience managing complex programs involving multiple workstreams, delivery teams, and executive stakeholders.
• Proven success delivering enterprise modernization, platform migration, application transformation, or similar initiatives.
• Strong background in program governance, integrated planning, dependency management, risk and issue resolution, and executive communications.
• Ability to understand and explain technical concepts related to cloud platforms, APIs, event-driven architecture, data platforms, and distributed systems.
• Experience leading data engineering teams and delivering enterprise data platforms, pipelines, or analytical data products.
• Knowledge of modern data engineering practices, including batch and streaming ingestion, data modeling, orchestration, data quality, lineage, governance, and platform reliability.
• Strong analytical, organizational, negotiation, and decision-making abilities.
• Hands-on familiarity with Snowflake, Databricks, Delta Lake, Spark, AWS data services, Redshift, S3, and enterprise data integration patterns.
• Bachelors degree or equivalent experience.
• Preferred: Experience in finance, lending, originations, servicing, or other financial-services fields.
• Preferred: Familiarity with AWS, microservices, Kafka, Avro, Camunda or workflow orchestration, and modern data architectures.
• Preferred: Experience leading data platform modernization, cloud migration, lakehouse adoption, or consolidation of legacy analytical platforms.
• Preferred: Experience leading legacy-platform replacement, parallel operations, data migration, or production cutover programs.
• Preferred: Experience establishing technology operating models, delivery metrics, and executive-level governance forums.
• Preferred: Program or delivery certification such as PMP, PgMP, or SAFe, or equivalent experience.
• Preferred: Masters degree in business, technology, engineering, or a related discipline.

• Lead delivery of an integrated modernization plan spanning application delivery, data engineering, migration, integration, testing, parallel operations, operational readiness, production cutover, and decommissioning.
• Build and lead a high-performing data engineering organization, overseeing staffing, coaching, performance, delivery quality, succession planning, and continuous improvement.
• Support inclusive team development through regular coaching, mentoring, feedback, career guidance, and recognition.
• Set and execute our data engineering strategy for ingestion, transformation, data quality, metadata, lineage, data products, and analytical consumption.
• Oversee delivery across Snowflake, Databricks, AWS data services, Redshift, S3, and related orchestration and streaming technologies.
• Establish engineering standards for scalable pipelines, reusable frameworks, automated testing, observability, incident response, cost management, security, and supportability.
• Partner with data architecture, governance, analytics, risk, business, and domain teams to define trusted data ownership, access controls, service levels, and regulatory compliance.
• Coordinate scope, milestones, critical-path work, readiness criteria, and dependencies across APIs, Kafka and Avro contracts, data models, legacy capabilities, downstream consumers, infrastructure, and external partners.
• Direct program governance, including executive reporting, risk and issue resolution, decisions, change management, dependency escalation, and outcome-based measures; lead planning for parallel operations, migration, cutover, and decommissioning.
• Build relationships with senior leaders, product owners, delivery leads, vendors, and dependent programs; communicate complex topics clearly and promote accountability across teams.
• Provide technical coaching and advice to multiple teams, anticipate cross-functional needs and dependencies, and contribute expert guidance to budget and technical decisions that improve operational efficiency and functionality.

• AWS
• Redshift
• Camunda
• Cloud
• Databricks
• Support
• Kafka
• Marketing
• Security
• Snowflake
• Spark
• microservices

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We are partnering with hackajob to connect exceptional professionals with this Senior Manager of Software Engineering opportunity at J.P. Morgan. JPMorganChase is a longstanding financial institution serving consumers, small businesses, and corporate, institutional, and government clients through the J.P. Morgan and Chase brands. Our businesses span investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. This role sits within our Corporate Functions, whose teams—including finance, risk, human resources, and marketing—help prepare our businesses, clients, customers, and employees for success. We offer competitive total rewards, with compensation based on role, experience, skills, and location; eligible employees may also receive incentive compensation. Benefits, subject to eligibility, include health care, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, are an equal opportunity employer, and provide reasonable accommodations for religious practices and beliefs and for mental or physical disability needs.

last updated 40 week of 2026