Senior Data Engineer

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.

• 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.

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.

• 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.

• 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).

• 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.

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.

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.