Data Engineering Manager

We are a leading Fintech company revolutionizing the financial industry through innovative solutions. Our team is passionate about building cutting-edge technology that empowers decision-making processes for businesses in the financial sector. As we continue to grow, we are seeking a skilled and experienced Senior Back-End Java Developer to join our dynamic team.

We offer a variety of incredible benefits, including but not limited to a comprehensive medical, dental, and vision plan, 401(k) plans with matching company contributions, PTO and paid holidays, paid parental leave and an employee assistance program for mental health and counseling.

Job Purpose

We are seeking an experienced, empathetic, and quality focused Data Engineering Manager to own the Data engineering efforts inside the Data Engineering team. This group leads the development of our Enterprise Datawarehouse/Data Lakes applications. The Data Engineering Manager will be passionate about data-driven information which will guide and influence key business decisions. This role will partner with the digital product management team as well as internal clients to understand business inquiries, drive requirements, propose solutions and deliver multiple cross-functional projects and integrations between different systems. This is a unique opportunity to build and institutionalize a best-in-class data ecosystem on premise or in the public cloud.

Does leading the engineering which ingests, processes, stores, and analyzes terabytes of interesting consumer data excite you? We’re looking for you! Are you an experienced Software Engineering Manager? In this role, you’ll both set direction and provide mentorship to our experienced engineers and work hands-on to solve sophisticated problems at big data scale. You’ll be responsible for the development, quality and integrity of the data pipelines which deliver a diverse set of data types to other engineering teams. In this role you’ll have a large impact on the entire Software Engineering organization and ultimately help improve, build, and deliver the products which consistently delight our users.

Key Qualifications

• Multiple years of Data Engineering management experience leading and supporting the development and maintenance of applications, tools, and

processes. Core technical experience includes Data Integration, Data Management and Data Visualization.

• Experiencing in partnering with data architects in architecting, building, and maintaining complex, multi-component big data systems.
• Track record of building and leading high-performance Data engineering teams.
• Strong sense of ownership of the development process and the will to drive the team toward constant code, application, and process

improvements.

• Excellent interpersonal skills and ability to collaborate effectively across multiple business and technical teams.
• Excellent problem solving, critical thinking, and social skills - Lead by example to empower and challenge the team to deliver their best.
• Shown ability to work under pressure while maintaining a high level of quality and integrity.
• BA/BS in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience. Master’s degree a

plus

Duties and Responsibilities
Technical:

• Serve as the technical expert responsible for the design, and implementation of Enterprise Data Warehouse & Business Intelligence solutions,

with complete and accurate information information/data delivery using maintainable, systematic, and automated procedures.

• Drive the design, building, and launching of new data pipelines in production.
• Establish and maintain data marts where appropriate.
• Establish and define data integration, data validation, data cleansing, and data management practices.

Managerial:

• Provide leadership and management to a team of data engineers. You’ll split your time between unblocking your team, vetting their designs, and

coaching them to realize their full potential, while also building things yourself.

• Proactively mentor and grow the team, identify the required skills, hire the best talent, actively manage their performance, and help them to grow

to their fullest potential.

• Proactively drive the vision for data engineering and define & execute on a plan to achieve that vision.
• Build cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and leaders in business to understand data needs

and deliver on those needs.

• Manage issues and bugs within the system using tracking/ support systems; liaise with internal and external resources to facilitate resolution and

closure.

Minimum Qualifications

• 7+ years as a lead data engineer in developing & managing data pipelines using ETL/ELT tools and data visualization using business intelligence

tools.

• 3+ years as a Data Engineering Manager managing multiple Agile Squads/Teams that works on multiple projects in an Agile environment.
• Hands-on Technologist - Experience developing solutions involving data lakes and/or data warehouse on Snowflake/AWS DataBricks/Amazon RedShift using tools such as SSIS, Azure Data Factory, AWS Glue, Matillion, DBT, FiveTran

Preferred Qualifications

• Experience with one or more of the following languages (Python, Scala) and related development tools to support Data Science initiatives.
• Experience with one or more of the following platforms: HDFS, Yarn, Spark, Impala, Kafka, HBase, MapReduce, Kubernetes, Object Store, Flink
• Managing a virtual team that works across different time zones.
• Prior experience in Consumer Lending Industry
• Certifications such as SnowPro Core/Advanced, AWS Solution Architect.