Solutions Architect

IndiaRemotemid

EngineeringSoftware Architect

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Overview

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,

Technical Tools

EngineeringSoftware Architect

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.

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

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.

Responsibilities

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→Hands-on expertise with core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP.
→Strong programming skills in Java, Python, and/or Scala.
→Advanced SQL skills, including writing, debugging, and optimizing complex queries.
→Experience with cloud and distributed data storage such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
→Experience with data integration 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).
→Experience across the complete software development lifecycle including design, documentation, implementation, testing, and deployment.
→Experience with automated data transformation and curation using tools such as 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 developing detailed solution documentation, including POCs and roadmaps, sequence diagrams, class hierarchies, and logical system views.
→Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

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 written and verbal communication skills in English, including the ability to create and deliver detailed presentations for technical and business audiences.

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.
Experience leading teams and/or mentoring other engineers in a project or practice setting.

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Requirements

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Experience in designing and operating large-scale data platforms and analytics solutions in complex enterprise environments.
Hands-on experience with preferred tools, platforms, or methodologies such as Snowflake, AWS, Azure, GCP, Hadoop, and Databricks.
Hands-on experience with distributed storage and data integration/orchestration technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS DMS, Azure Data Factory, IICS, Google DataProc, Airflow, AWS Managed Airflow, or comparable tools.
Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
Contributions to open source, technical communities, speaking, writing, or internal accelerators are a plus.

This role is based in India and operates primarily in India Standard Time (IST).

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.