Solutions Architect (Managed Services)

Summary

As a part of our Managed Services team, you are driven by a commitment to customer success and long-term growth. You embrace best practices, champion effective platform management, and contribute to the evolution of data platforms by promoting phData’s Operational Maturity Framework. Your approach is hands-on, collaborative, and results-oriented, making you a key player in ensuring clients' ongoing success.

Benefits

• • Remote-First Work Environment
• • Casual, award-winning small-business work environment
• • Collaborative culture that prizes autonomy, creativity, and transparency
• • Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• • Accelerated learning and professional development through advanced training and certifications

Responsibilities

• Technical Leadership:

  • • Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
  • • Guide technical teams through data migration, integration, and performance optimization.

• Platform Optimization, Integration and Automation:

  • • Identify opportunities for automation and performance optimization to enhance client’s data platform capabilities.
  • • Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems.

• Platform Security:

  • • Setting up a client's data platform with industry best practices & robust security standards including Data Governance.

• Process Engineering:

  • • Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed.
  • • Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms.

• Consulting Leadership:

  • • Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI.
  • • Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals.

• Cross-functional Collaboration & Mentorship:

  • • Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction.
  • • Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.

Required Skills

• Required:

  • • Solutions Architecture; 10 years of hands-on experience of architecting, designing, implementing, and managing cloud-native data platforms and solutions.
  • • Client-Facing Skills; Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation.
  • • Data Platforms; Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting.
  • • Cloud Expertise; Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
  • • IT Operations; Build and manage scalable, secure data platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance.
  • • SQL Mastery; Advanced proficiency in Microsoft SQL, including writing, debugging, and optimizing queries.
  • • DevOps and Infrastructure; Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub).
  • • Data Integration Tools; Expertise with tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.

• Preferred:

  • • Certifications; Snowflake SnowPro Core certification or equivalent.
  • • Python Proficiency; Experience using Python for task automation and operational efficiency.
  • • CI/CD Expertise; Hands-on experience with automated deployment frameworks, such as Flyway or Liquibase.

Qualifications

• • A Bachelor’s degree in Computer Science, Engineering, or a related field is highly preferred
• • Advanced degrees or equivalent certifications are preferred.

About phData

phData is revolutionizing how our clients use data and artificial intelligence. As the premier services provider specializing in data application and data platform services, we partner with the leading technology companies across the modern data stack to deliver cutting-edge solutions. We are technology evangelists around critical ecosystem tools like Snowflake, AWS, Azure, dbt, Sigma, Tableau, and Power BI. We are passionate about helping global enterprises overcome their toughest challenges by building AI solutions and data applications and then getting these solutions into production. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

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