Senior Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect with a contract length of "unknown" and a pay rate of "unknown." Key skills include 15+ years in data architecture, proficiency in Spark, Kafka, and cloud platforms (AWS, Azure, GCP), and CDMP certification.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Governance #Snowflake #Cloud #Computer Science #Security #Azure #Kafka (Apache Kafka) #Data Architecture #API (Application Programming Interface) #Leadership #BigQuery #Metadata #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Data Management #Data Engineering #Databricks
Role description
Job Description:
• Design and implement data mesh frameworks across multiple domains.
• Collaborate with engineering, data, and business teams to enable self-serve analytics.
• Define and enforce data governance, quality, and security policies.
• Implement modern data platforms using cloud-native technologies (AWS, Azure, GCP).
• Mentor teams on domain-oriented data ownership and best practices.
Required Skills & Qualifications:
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 15+ years in data architecture, cloud data engineering, or enterprise data platforms.
• Strong proficiency in Spark, Kafka, Snowflake, Databricks, or BigQuery.
• Experience with data governance frameworks, metadata management, and API-driven data services.
• Excellent problem-solving, collaboration, and leadership skills.
Certifications:
• Certified Data Management Professional (CDMP).
• Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer).
Job Description:
• Design and implement data mesh frameworks across multiple domains.
• Collaborate with engineering, data, and business teams to enable self-serve analytics.
• Define and enforce data governance, quality, and security policies.
• Implement modern data platforms using cloud-native technologies (AWS, Azure, GCP).
• Mentor teams on domain-oriented data ownership and best practices.
Required Skills & Qualifications:
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 15+ years in data architecture, cloud data engineering, or enterprise data platforms.
• Strong proficiency in Spark, Kafka, Snowflake, Databricks, or BigQuery.
• Experience with data governance frameworks, metadata management, and API-driven data services.
• Excellent problem-solving, collaboration, and leadership skills.
Certifications:
• Certified Data Management Professional (CDMP).
• Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer).
