Associate Principal Engineer -- BIG-DATA-ENGINEER

Nagarro•Atlanta, GA

About The Position

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Requirements

Data Engineering and Integration Expertise
Data Governance and Security Knowledge
Databricks
Technical delivery

Nice To Haves

Data Modeling (Capable)

Responsibilities

Oversee the delivery of data projects, including data pipelines, warehouses, lakes, and analytics platforms.
Collaborate with architects, data engineers, and data scientists to deliver robust and scalable data solutions.
Provide hands-on guidance on data modeling, ETL/ELT workflows, and cloud-based data architectures.
Develop and execute detailed project plans, ensuring timely delivery within scope and budget.
Manage competing priorities across multiple data delivery streams.
Drive adherence to Agile or hybrid project management methodologies.
Serve as the primary technical liaison between clients and delivery teams for all data-related initiatives.
Understand client requirements, translating business goals into actionable data solutions.
Conduct regular status updates and stakeholder reviews to ensure alignment and satisfaction.
Lead onshore and offshore teams to deliver high-quality data solutions.
Foster a collaborative work environment, ensuring effective communication and teamwork.
Identify and address skill gaps within the team through mentorship or training.
Implement data governance policies, ensuring compliance with standards and regulations.
Oversee data quality initiatives, including validation, monitoring, and issue resolution.
Promote the adoption of best practices for data security, integrity, and privacy.
Identify delivery risks and develop mitigation strategies.
Address technical and operational challenges proactively, escalating issues when necessary.
Track and report on delivery metrics, including data accuracy, timeliness, and system performance.
Provide regular updates to leadership on project health, risks, and financials.