Vedan Technologies
Sr Data Lead Developer/Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Lead Developer/Architect with a contract length of "Unknown," offering a pay rate of "Unknown." Key skills include Snowflake, ETL tools, CI/CD automation, and data management best practices. Strong communication skills are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Data Quality #Scala #ML (Machine Learning) #Jenkins #Snowflake #Data Management #"ETL (Extract #Transform #Load)" #Storage #Data Science #Automation #GitHub #Data Pipeline #Data Storage #Data Lake #Data Warehouse
Role description
1. Designing and implementing scalable data pipelines
1. Building and managing data warehouses and data lakes
1. Ensuring data quality and implementing data management best practices
1. Optimizing data storage and retrieval processes
1. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
1. CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub etc.
1. Monitor and tune Snowflake query performance, warehouse usage, and credit consumption.
1. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
1. Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials).
1. Enabled data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls.
1. Experience with ETL /Scheduler tools.
1. Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders.
1. Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture.
1. Designing and implementing scalable data pipelines
1. Building and managing data warehouses and data lakes
1. Ensuring data quality and implementing data management best practices
1. Optimizing data storage and retrieval processes
1. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
1. CI/CD orchestration and automation tools: Experience with tools such as Jenkins, GitHub etc.
1. Monitor and tune Snowflake query performance, warehouse usage, and credit consumption.
1. Collaborate closely with data scientists, analysts, and product teams to support analytics and machine learning initiatives.
1. Design and enforce row-level access policies and dynamic masking in Snowflake for sensitive data fields (PII, financials).
1. Enabled data sharing with external teams using secure shares and reader accounts while maintaining strict RBAC controls.
1. Experience with ETL /Scheduler tools.
1. Strong interpersonal, written, and verbal communication skills to interact effectively across teams and stakeholders.
1. Designing semantic layers, aggregate tables, and data models (Star/Snowflake) to support scalable, governed, and business-friendly analytics architecture.
