Solutions Architect – Data Engineering

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

Artificial Intelligence • SaaS • Enterprise

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• 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. • 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.

🎯 Requirements

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

🏖️ Benefits

• 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