Phdata

Open

Senior Data Engineer

Location
India - Remote
Posted
Aug 5, 2026
Last seen
Aug 7, 2026

About the role

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

  • Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year
  • AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
  • 2025 Fivetran Partner of the Year (4th consecutive year)
  • 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
  • 2026 KNIME Customer Excellence Partner of the Year
  • Preferred Partner in the Anthropic Claude Partner Network
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
  • Recognized as an award-winning workplace in the US , India and LATAM

Role Overview

We are looking for a Data Engineer to join our Data Engineering team. In this role, you will design, build, and productionize end-to-end cloud data solutions that are secure, scalable, performant, and robustly integrated across systems. You will collaborate closely with client stakeholders, data engineers, architects, and engagement leaders to deliver high-quality solutions and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• 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.

Collaboration & Leadership

• 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.

Practice & Firm Contribution

• 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.

About You

You are a client-focused data engineer and problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.

Technical / Functional Skills

  • 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).

Consulting / Delivery Skills

• 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.