Data Architect
7 days ago
Role : Senior Data Architect - Snowflake
Location : Trivandrum / Bangalore / Chennai
Experience : 12+ Years
Notice Period : Immediate
Introduction :
We are seeking an experienced Senior Data Architect - Snowflake with 12+ years in data engineering, data architecture, and cloud-based data solutions. The ideal candidate should have extensive experience in Snowflake, DataOps, and large-scale data migration while ensuring high-performance data solutions.
Working Hours : 12 PM - 9 PM IST (with mandatory EST overlap for meetings)
Key Responsibilities :
- Architect & Design : Lead the design and implementation of scalable, high-performance data solutions using Snowflake.
- Stakeholder Collaboration : Translate business requirements into technical specifications and data models.
- Data Governance & Best Practices : Establish data architecture standards, DataOps methodologies, and governance frameworks.
- Data Pipeline Implementation : Oversee ETL processes, data migration, and real-time streaming solutions.
- Performance Optimization : Conduct Snowflake performance tuning and ensure efficient database management.
- Technical Leadership : Mentor data engineers and collaborate across teams to enhance data capabilities.
- Technology Trends : Stay updated on emerging Snowflake advancements and cloud data technologies.
Required Qualifications :
- Education : Bachelor's or Master's degree in Computer Science, Information Systems, or related fields.
- Certifications (Desirable, not mandatory) : SnowPro Core / SnowPro Advanced Architect / SnowPro Advanced Data Engineer
Key Skills :
Mandatory :
- Snowflake Expertise : Strong knowledge of data modeling, schema design, and query optimization in Snowflake.
- ETL & Data Migration : Experience with ETL pipelines, data integration, and large-scale data migration solutions.
- Cloud Technologies : Experience with AWS, Azure, GCP.
- Programming Skills : Proficiency in Python / Java / Scala, SQL.
- SAP Experience : Hands-on experience working in SAP environments.
- DataOps & Governance: Knowledge of data governance frameworks and DataOps best practices.
- Real-Time Data Processing : Familiarity with real-time streaming and Change Data Capture (CDC) mechanisms.
Secondary (Nice to Have) :
Data Visualization : Experience with Tableau, Power BI.
Data Security & Compliance : Knowledge of data security standards and compliance.
Soft Skills : Strong communication, presentation, and leadership skills to engage with technical teams and business stakeholders.
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