Senior Data Engineer

Role Overview

• Own and drive the design, development, and deployment of end-to-end data solutions and pipelines for enterprise clients.
• Translate business requirements into technical data architectures, integration patterns, and models that align with phData methodologies, standards, and best practices.
• Ensure solutions meet performance, security, reliability, and scalability requirements in production environments.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.
• Collaborate with cross-functional partners including data engineering, software engineering, analytics, and platform teams to deliver successful client engagements.
• Provide technical leadership during design and code reviews, proof-of-concepts, and implementation workshops.
• Ensure high quality in deliverables through testing, documentation, and adherence to governance and change management processes.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable patterns and components.
• Contribute to internal initiatives such as developing accelerators, templates, playbooks, and best practices for cloud data platforms.
• Create clear technical documentation, including architectures, roadmaps, and operational runbooks, that can be reused across engagements.
• Share knowledge with peers through mentoring, informal coaching, and internal communities of practice.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Requirements

• 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.
• Ability to develop end-to-end technical solutions into production, with a strong focus on performance, security, scalability, and robust data integration.
• Programming expertise in Python and/or Scala for data processing, automation, and orchestration.
• Hands-on experience with core cloud data platforms including Snowflake, AWS, Azure, and/or Databricks.
• Strong SQL skills, including the ability to write, debug, and optimize complex queries.
• Experience creating and delivering detailed technical presentations for client and internal stakeholders.
• Experience producing detailed solution documentation (e.g., POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, and related artifacts).
• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex problems into structured, actionable steps and drive them through to completion.
• Strong client-facing written and verbal communication skills in English.
• Demonstrated ability to work effectively with distributed and cross-functional teams.
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
• 4-year Bachelor’s degree in Computer Science or a related field.

Tech Stack

• AWS
• Azure
• Cloud
• Python
• Scala
• SQL

Benefits

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content