Solutions Architect - Data Engineering

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. 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 Solutions Architect to join our Data Engineering team. In this role, you will lead the design and delivery of modern cloud data platforms and analytics solutions that help clients unlock and operationalize value from their data at scale. You will collaborate closely with enterprise clients, data engineering and analytics teams, cloud platform teams, and practice leadership to deliver high-quality solutions and advance phData’s delivery excellence. Key Responsibilities Client Delivery 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. Collaboration & Leadership 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. Practice & Firm Contribution 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. Additional Responsibilities 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. About You 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. Required Qualifications Experience 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 s