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.
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 Senior Data Engineer to join our Data Engineering team. In this role, you will partner with clients and technical teams to understand requirements, build scalable Data & AI solutions, and deliver high-quality engineering work from development through production deployment. You'll combine strong hands-on technical expertise with consulting skills to solve complex data challenges, contribute to technical design decisions, and collaborate effectively with client stakeholders. You won't simply write code—you'll help build production-ready solutions, contribute to successful client delivery, and embrace AI-first engineering practices that improve speed, quality, and client outcomes.
Key Responsibilities
- Participate in discovery sessions to understand business goals, technical requirements, and solution constraints, while translating client needs into scalable, production-ready Data & AI solutions.
- Serve as a senior technical contributor throughout client engagements.
- Contribute to recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing technical documentation, implementation plans, data models, and engineering standards.
- Build and deliver enterprise Data & AI solutions from development through production deployment, owning complex engineering workstreams while proactively identifying technical risks, troubleshooting issues, and removing implementation blockers.
- Leverage AI throughout the software delivery lifecycle to improve engineering productivity, code quality, documentation, testing, troubleshooting, and client outcomes while applying practical AI capabilities within day-to-day engineering.
- Mentor engineers through technical coaching, code reviews, development best practices, and contribute to hiring, onboarding, and technical enablement.
About You
You are a hands-on data engineer who enjoys solving complex technical challenges and building scalable, production-ready solutions. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices. You are equally comfortable writing production-quality code, contributing to technical design discussions, collaborating directly with clients, and helping engineering teams navigate complex implementation decisions while delivering measurable business value.
Required Qualifications
Experience
- 5+ years of experience in Data Engineering, Software Engineering, or related technical consulting roles.
- Proven experience building and delivering enterprise Data & AI solutions into production within cloud environments.
- Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
- Strong consulting experience contributing to technical discovery, solution design, engineering delivery, and client-facing engagements.
Technical / Functional Skills
- Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
- Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
- Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
- Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
- Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.
- Contributions to technical communities through speaking, writing, open source, or internal enablement.
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
India:
- 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
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.
Skills Required
- 4+ years experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions
- Programming expertise in Python and/or Scala
- Hands-on experience with core cloud data platforms (Snowflake, AWS, Azure, and/or Databricks)
- Strong SQL skills, including writing, debugging, and optimizing complex queries
- Ability to develop end-to-end production technical solutions focused on performance, security, scalability, and integration
- Experience creating and delivering detailed technical presentations for clients and internal stakeholders
- Experience producing detailed solution documentation (POCs, roadmaps, architectures, runbooks)
- Experience delivering projects in a professional services or consulting environment
- Strong client-facing written and verbal communication skills in English
- Demonstrated ability to work effectively with distributed, cross-functional teams and take ownership
- Bachelor's degree in Computer Science or a related field (4-year)
- Production experience with additional platforms and tools (GCP, Hadoop, S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, NoSQL)
- Experience with modern data integration and streaming technologies (Spark, Kafka, StreamSets, Matillion, NiFi, AWS DMS, Azure Data Factory, IICS, Google Dataproc)
- Experience with automated data transformation and orchestration tools (dbt, Spark Streaming, Airflow, AWS Managed Airflow, Luigi, NiFi)
- Experience working with multiple data sources (queues, relational databases, files, search, APIs)
- Prior experience working in global or remote teams across US, LATAM, and/or India
- Contributions to open source, community engagement, speaking, writing, or internal accelerators
What We Do
phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting.
