Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT)

Fairygodboss; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer to drive data engineering initiatives across HR and Employee Experience data products. You will lead architecture, pipelines, and governance while guiding teams through SDLC, security, and cost-of-ownership considerations.

You will partner with Product and Architecture to shape data strategy, improve TDQ/BDQ, and push for scalable, reusable data production frameworks across the enterprise.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience anticipate and solve complex technical items within your domain of expertise.
• Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation
• Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR
• Experience with AI Developer Automation Tools and the use of BI Consumption tools such as: Sigma, Genie, Tableau
• Experience with Governance using Unity Catalogue and Data Access Governance with Immuta
• Experience in working in cross-functional teams of technologists.
• Experience dealing with internet scale volume and size of data.
• Experience in Big Data technologies handling complex data processing requirements.
• Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)

Responsibilities

• Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
• Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
• Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
• Transform traditional HR/EX into modern data product offerings that scales for business needs.
• Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.
• Partner with Product and Architecture to make strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
• Be accountable for SDLC, design patterns and upskilling engineers
• Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
• Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
• Advance and support the firm's culture of diversity, opportunity, inclusion, and respect

Skills

Data Engineering

Python/Scala

Spark

Databricks

Terraform

Kafka

Cloud data platforms

AI automation tools

BI tools

Cross-functional collaboration

Tools

Databricks

DBX

PySpark

Spark

Terraform

Kafka

Python/Scala

Glue/EMR

Tableau

Sigma

Genie

Job description

Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products.

As a Senior Lead Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Data and Integrations team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge, coding and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and a drive innovation and solution delivery.

Job responsibilities

• Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
• Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
• Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
• Transform traditional HR/EX into modern data product offerings that scales for business needs.
• Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.
• Partner with Product and Architecture to make strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
• Be accountable for SDLC, design patterns and upskilling engineers
• Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
• Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
• Advance and support the firm's culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills.

• Formal training or certification on software engineering concepts and 5+ years applied experience anticipate and solve complex technical items within your domain of expertise.
• Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation
• Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR
• Experience with AI Developer Automation Tools and the use of BI Consumption tools such as: Sigma, Genie, Tableau
• Experience with Governance using Unity Catalogue and Data Access Governance with Immuta
• Experience in working in cross-functional teams of technologists.
• Experience dealing with internet scale volume and size of data.
• Experience in Big Data technologies handling complex data processing requirements.
• Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)

Preferred qualifications, capabilities, and skills

• Prior Financial Services experience is preferred.

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.