Senior Manager of Software Engineering - Databricks, AWS

JPMorganChase; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Plano, TX, seeks a Manager of Software Engineering to guide multiple teams in delivering trusted, scalable technology within Corporate Sector, Enterprise Technology. You will lead architecture, data pipelines, and AI-assisted engineering practices to improve quality and delivery speed.

The role demands deep Databricks/Spark expertise, strong Python/Java, and a track record building ETL/ELT pipelines with secure, reliable operations. Excellent communication required.

Qualifications

• 5+ years of software engineering experience.
• 10+ years of professional software/data engineering experience with Spark on Databricks or EMR.
• Experience using AI-assisted development tools with validation of outputs for correctness, performance, and security.
• Strong proficiency in Python and/or Java for data processing and automation.
• Databricks expertise including Delta Lake, Unity Catalog, and Workflows.
• Proven track record building ETL/ELT pipelines with SLAs and reliability engineering.
• Security-first mindset with data protection and network controls.

Responsibilities

• Lead architecture and delivery of high-throughput data pipelines using Databricks and Spark.
• Establish lakehouse patterns with Delta Lake and ensure performance at scale.
• Promote enterprise AI-assisted engineering practices to improve code quality and delivery speed.
• Apply SDLC toolchain knowledge to improve automation and value.
• Own Databricks cluster strategy, sizing, and policies.
• Orchestrate jobs with Databricks Workflows and integrate with AWS eventing.
• Design secure data ingestion and transformation frameworks using Databricks services.
• Enforce data quality, lineage, and governance via Unity Catalog/Glue Catalog.
• Advance Spark performance tuning and cluster optimization for cost efficiency.
• Build reusable libraries and APIs in Python/Java; oversee testing and validation.
• Implement CI/CD for data projects and infrastructure as code.

Skills

Python

Java

Databricks

Apache Spark

SQL

CI/CD

Airflow

Terraform

Unity Catalog

Glue Catalog

Data engineering

Security

Education

Formal training or certification in software engineering

Tools

None

Job description

Job Description

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within Corporate Sector, Enterprise Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Lead architecture and delivery of high‑throughput, low‑latency data pipelines using Databricks and Apache Spark (Core, SQL, Structured Streaming).
• Establish lakehouse patterns with Delta Lake (ACID transactions, schema evolution, time travel, Z‑ordering, compaction) and ensure performance at scale.
• Drive team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.
• Own Databricks cluster strategy and setup: runtime selection, autoscaling, driver/executor sizing, Spark configs, unit scripts, cluster policies, pools, and instance profiles.
• Orchestrate jobs with Databricks Workflows; integrate with AWS eventing and orchestration as needed.
• Design secure data ingestion and transformation frameworks leveraging Databricks services: design delta or unmanaged tables, create tasks for data ingestion process, create DAGs using Airflow to orchestrate creation of trusted and refined data.
• Enforce data quality, lineage, and governance using Unity Catalog and/or Glue Catalog; embed expectations and validation into pipelines.
• Drive Spark performance engineering: partitioning strategies, file sizing, AQE, broadcast joins, shuffle tuning, caching, spill/memory control, and job right‑sizing to optimize cost.
• Build reusable libraries, frameworks, and APIs in Python and/or Java; oversee unit, integration, and data validation testing.
• Implement CI/CD for data projects (Git‑based workflows), Terraform infrastructure deployments environment promotion, and automated deployments; champion engineering standards and code reviews.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 10+ years of professional software/data engineering experience, including substantial production work with Spark on Databricks or EMR.
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Strong proficiency in Python and/or Java for data processing, platform tooling, and automation.
• Hands‑on Databricks expertise (Delta Lake, Unity Catalog, Workflows, Repos/notebooks, SQL Warehouses).
• Proven track record architecting and operating ETL/ELT pipelines (batch and streaming), with schema design/evolution, SLAs, and reliability engineering.
• Deep skills in Spark performance tuning and Databricks cluster setup/optimization.
• Strong SQL and analytics data modeling (dimensional/star schema; lakehouse best practices).
• CI/CD and automation tooling for data (Git workflows, artifact management) and testing frameworks (pytest, JUnit).
• Security‑first mindset: roles/instance profiles, secret management, encryption‑at‑rest/in‑transit, and network controls.

Preferred Qualifications, Capabilities, And Skills

• Experience with Delta Live Tables and advanced governance (catalogs, grants, auditing) in Databricks.
• AWS networking knowledge (VPC, subnets, routing, security groups) and data egress controls.
• Experience with Terraform for infra deployments.
• Cost optimization experience: autoscaling strategies, spot vs on‑demand, auto‑termination, storage layouts and compaction.
• Observability for data systems (freshness/completeness metrics, lineage, SLAs, alerting).
• Drive Databricks performance tuning through liquid clustering or partitioning keys, familiarity with Airflow, Genie, Streamlit and React.
• Demonstrated leadership in code quality, reviews, testing strategy, CI/CD, and technical mentorship; excellent communication with stakeholders.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.