Job Description

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HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for (Title) in (Location). Below is the detailed job description.

Title: Enterprise Data Platform Architect

Location: Seattle Onsite

Job Description:

About the Role:

We are seeking a highly skilled and experienced Enterprise Data Platform Architect to lead the architecture, design, and implementation of a robust data ecosystem enabling business stakeholders to make data-driven decisions. The role focuses on building and evolving an enterprise-grade data platform on Google Cloud Platform (Google Cloud Platform) , incorporating real-time and batch data ingestion , data governance , and advanced analytics enablement through AI/ML and BI tools.

Key Responsibilities:

• Lead the architecture, design, and engineering of the Enterprise Data Lake on Google Cloud Platform.
• Define and implement technical and functional frameworks, data platform roadmap, and future-state architecture.
• Build and manage data ingestion pipelines from sources including SAP/HANA using in-house and cloud-native frameworks.
• Implement and maintain real-time and batch data processing using tools like Apache Spark, Kafka, Google Pub/Sub, and Talend.
• Drive the setup and automation of Databricks Platform to enable scalable data science and machine learning use cases.
• Ensure data quality and governance using Collibra framework and enforce enterprise standards across the platform.
• Collaborate with business and technology stakeholders to align data strategy with business goals.
• Evaluate and onboard emerging technologies and vendors through structured PoCs and technical assessments.
• Oversee automated infrastructure provisioning and platform scalability using Terraform and other DevOps tools.
• Enable actionable insights for business teams through Power BI integration and support for enterprise reporting.

Required Skills & Qualifications:

• 10+ years of experience in data engineering, data architecture, or related roles.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) services and architecture.
• Expertise in big data ecosystems including Hadoop, Apache Spark/Spark Streaming, and Kafka.
• Solid understanding of data ingestion patterns, data lake architecture, and data modeling techniques.
• Experience with Databricks platform and enabling ML/AI workloads.
• Proficient in Java and Python for building data pipelines and services.
• Familiarity with ETL tools such as Talend, and infrastructure-as-code with Terraform.
• Working knowledge of data governance tools (e.g., Collibra) and best practices.
• Experience in integrating with BI tools like Power BI for analytics delivery.
• Excellent communication and leadership skills with the ability to influence and drive decisions.

Preferred Qualifications:

• Google Cloud Platform or Databricks certifications.
• Experience working in hybrid cloud environments or on large enterprise data transformation initiatives.
• Familiarity with SAP data structures and integration techniques.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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Job Tags

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