phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K

Description

  • Own end-to-end architecture, design, and delivery of cloud data and analytics solutions for enterprise customers.
  • Translate business requirements into technical and data platform solutions aligned with company standards and best practices.
  • Architect secure, scalable, and high-performing data pipelines and integration patterns on modern cloud platforms.
  • Guide implementation teams through design decisions, trade-offs, and solution lifecycle best practices.
  • Collaborate with data engineering, analytics, ML, cloud platform, sales, and PMO teams on client engagements.
  • Lead workshops, discovery sessions, design reviews, and project delivery efforts.
  • Support pre-sales scoping, solutioning, and technical presentations to client stakeholders.
  • Ensure deliverables meet quality standards through architecture reviews, code reviews, documentation, testing, and governance.
  • Contribute to internal assets such as accelerators, reference architectures, templates, playbooks, training, and mentoring.
  • Act as a trusted advisor to senior client stakeholders and help shape roadmaps and strategic decisions.

Requirements

  • 10+ years of experience in solutions architecture and/or data engineering.
  • Hands-on expertise with 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 storage systems such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or similar NoSQL systems.
  • Experience with data integration tools and platforms such as Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS DMS, Azure Data Factory, IICS, or Google DataProc.
  • Experience with workflow orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
  • Experience across the full software development lifecycle, including design, documentation, implementation, testing, and deployment.
  • Experience delivering projects in a consulting or professional services environment.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Preferred: experience designing and operating large-scale enterprise data platforms and analytics solutions.
  • Preferred: experience working in global or remote teams across the US, LATAM, and/or India.
  • Preferred: contributions to open source, technical communities, speaking, writing, or internal accelerators.

Benefits

  • Remote-first workplace.
  • Medical insurance for self and family.
  • Medical insurance for parents.
  • Term life and personal accident coverage.
  • Wellness allowance.
  • Broadband reimbursement.
  • Paid certifications and professional development allowance.
  • Bonuses for creating company-approved content.

Interested in this position?

Apply directly on the company website

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