Role Overview

We are looking for a Data Engineer to join our Data Engineering team. In this role, you will design, build, and productionize modern cloud data platforms and pipelines that enable reliable analytics and AI solutions for our clients. You will collaborate closely with client stakeholders, architects, and engineering teams to deliver secure, scalable, high-performing data solutions and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive end-to-end data pipeline and platform implementation for cloud-based analytics and data platform projects across enterprise clients.
• Translate business requirements into technical data engineering solutions that align with phData methodologies, standards, and best practices.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Collaborate with data engineers, analytics engineers, data scientists, solution architects, and project managers to deliver successful client engagements.
• Provide technical leadership during architecture and design workshops, discovery sessions, and project delivery.
• Ensure high quality in deliverables through code reviews, documentation, testing, governance, and production-ready operational practices.
• Partner with practice and account leaders to identify opportunities to expand data engineering engagements, improve delivery quality, and standardize reusable patterns and frameworks.

Practice & Firm Contribution

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, playbooks, and internal training and mentoring.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

About You

You are a hands-on data engineer and problem solver who enjoys designing and building scalable data solutions that create measurable business impact. You are comfortable working directly with clients, collaborating in distributed global teams, and taking ownership to drive outcomes in a fast-paced, consulting environment.

Required Qualifications

Experience

• 3–4 years of experience as a Data Engineer designing, building, and deploying data solutions to production.

Technical / Functional Skills

• Strong programming skills in Python and/or Scala for data engineering workloads.
• Hands-on experience with core cloud data platforms such as Snowflake, AWS, Azure, and Databricks.
• Advanced SQL skills, including the ability to write, debug, and optimize complex queries.
• Experience developing end-to-end technical solutions with a focus on performance, security, scalability, and robust data integration.
• Experience creating detailed