[Hiring] Senior Data Engineer @phData

Role Description

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.

Qualifications

• 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.

Preferred Qualifications

• Production experience in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, and/or Databricks.
• Experience with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
• Experience with modern data integration and streaming technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, Informatica Intelligent Cloud Services (IICS), Google Dataproc, or similar tools.
• Experience working with multiple data sources (e.g., queues, relational databases, files, search, APIs).
• Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment of data-intensive applications.
• Experience with automated data transformation and data curation using dbt, Spark, Spark Streaming, and automated data pipelines.
• Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
• Experience in specific industry verticals or problem spaces relevant to the role.
• Hands-on experience with preferred tools, platforms, or methodologies.
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to open source, communities, speaking, writing, or internal accelerators are a plus.

Location & Time Zone Expectations

• This role is based in India and operates primarily in India business hours (IST) with some flexibility for global collaboration.
• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

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 company-approved content