Senior Data Engineer

Data Engineer

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, 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.

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.

Collaboration & Ownership

• 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.

Education:

• 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.

Why phData?

• 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.

Benefits at phData

• 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

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.