Job Description

Job Requirements

We are seeking a motivated Director, Engineering who will be responsible for managing a technical team of data & software engineers to deploy and integrate data aggregation product and technology solutions, ensuring they meet project requirements, client needs and quality standards. In this role, you will be responsible for managing engineering team, provide technical leadership, ensuring that all projects meet the technical & business requirements and accelerate towards on-time completion. You will work on implementing detailed roadmap for transition to new technology, transforming the team to high performing agile technical team, organize and manage trainings, implement technical processes review, standard documentation templates, introduce AI-based efficiency solutions. You will work closely with cross-functional teams, including product management, design, and operations, to drive the development process, improve team productivity, and help team members achieve their career goals.


As a Director, Engineering, your role will be a blend of technical leadership, project management, and team mentorship. You will play a crucial role in managing both the technical direction of projects and the growth and well-being of the engineering team.

Responsibilities

Demonstrate deep technical understanding of product design/ Architecture with hands-on development capability. Managing team of engineers and technical leads, priorities and allocation across different initiatives. Suggest best technical solution based on client needs. Work closely with client facing team and business analysts. Stay on top of new technology and proactively implement efficiency solutions. Motivate team to learn, innovate and adapt best practices in industry. Work directly with product team on defining detailed technical roadmap. Work closely with team of architects to define and build technical components & services. Provide Architectural Guidance to the Implementation team about data pipelines/ storage/ operations/ client delivery. Initiate and drive cost optimization programs leverage design & Infra enhancements. Implement best practices for data engineering, ETL, and DWH development in AWS cloud environment Conduct code reviews; Coach team members on coding practices and drive adherence to coding standards. Collaborate with cross-functional teams to finalize project requirements, timelines, and deliverables. Monitor project progress, identify risks, and ensure on-time delivery of data engineering projects. Ensure project implementations/ solutions in compliant to security and privacy standards per HIPAA guidelines. Stay abreast with the latest trends in data engineering and AWS technologies; Continuously evaluate tools and services to improve data engineering outcomes. Proactively identify & resolve issues relating to people, product, tech, and processes.

Work Experience

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 12+ yrs. in data engineering roles, with at least 5-7 yrs in a lead capacity managing projects and engineering teams. 7+ years of experience in DWH/ETL Domain using AWS tech stack such as Redshift, S3, Glue, Lambda and IAM. Proficiency in Python, PySpark & SQL. Experience with back-end technologies and one of the frameworks such as Node.js, Python, SpringBoot or similar. Deep understanding of ETL/ELT processes, data warehousing concepts, and big data technologies. Experience building & managing data pipelines using tools like Glue, Airflow, AWS Step Functions, or similar. Proven ability to lead & mentor engineers towards innovative and disciplined environment. Strong problem-solving skills, with a process/methodical approach to resolve technical challenges and risks * Excellent analytical, verbal and communication skills for stakeholder and team management.