Solutions Architect

• →Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• →Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• →Help define and refine practice standards, reusable assets, and delivery frameworks.

• Own and drive end-to-end architecture, design, and delivery of modern cloud data and analytics solutions for enterprise customers across industries.
• Translate business requirements into technical and data platform solutions that align with phData methodologies, standards, and best practices.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.
• Architect secure, scalable, and high-performing data pipelines and integration patterns leveraging modern cloud data platforms and tooling.
• Guide implementation teams through design decisions, trade-offs, and best practices across the full solution lifecycle.

• Collaborate with cross-functional partners including data engineering, analytics, ML, cloud platform, sales, and PMO to deliver successful client engagements.
• Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and project delivery.
• Ensure high quality in deliverables through architecture reviews, code reviews, documentation, testing, and governance.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable solution patterns.
• Support pre-sales activities such as scoping, solutioning, and presenting technical approaches to client stakeholders.

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, training, and mentoring.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
• Share learnings and best practices across the organization to continuously improve delivery quality and efficiency.

You are a client-focused technical leader and trusted advisor who enjoys solving complex data problems and turning business requirements into scalable cloud data solutions. You thrive in a fast-paced, outcomes-driven environment, are comfortable operating in distributed, global teams, and take ownership for delivering high-quality results for your clients and colleagues.

• 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.

• 10+ years of experience in solutions architecture and/or data engineering, designing and implementing data solutions and modern cloud data platforms.

Technical / Functional Skills

• 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.

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.

• 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.