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Urgent! Data Architect - Python Programming - Local Job Opening in Bengaluru

Data Architect Python Programming



Job description

<p><p><b>Description : </b><br/><br/>Position overview<br/><br/>We are looking for a seasoned Data Architect with deep expertise in cloud-native data platforms (AWS) along with Snowflake.<br/><br/>The Data Architect will be responsible for designing and implementing enterprise-grade data platforms on AWS cloud using Snowflake, Python, PySpark and other cloud native tools and services.

The role demands strong hands-on technical expertise in modern data engineering frameworks, data modeling, and architecture best practices, along with a solid understanding of data management, governance, and security principles.<br/><br/>This role will collaborate with cross-functional teams to establish scalable, high-performing, and secure data ecosystems enabling advanced analytics, AI/ML, and BI use cases.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Architect, Design and implement data Lakehouse, Data Warehouse solutions on AWS and Snowflake using Medallion Architecture (Bronze/Silver/Gold layers).<br/><br/>- Define and implement end-to-end data pipelines and orchestration layer/ frameworks<br/><br/>- Design for multi-structured data (structured, semi-structured, unstructured).<br/><br/>- Define and develop architecture patterns for streaming, batch, and real-time data processing.<br/><br/>- Integrate AWS data services (S3, Lake Formation, Kinesis, Lambda) with Snowflake into enterprise solutions.<br/><br/>- Implement data quality, cataloging, lineage, and metadata management frameworks.<br/><br/>- Partner with the data governance team to enforce standards for data ownership, stewardship, and lifecycle management.<br/><br/>- Define policies for data security, masking, and access control aligned with organizational governance.<br/><br/>- Drive adoption of best practices in DataOps, DevOps, and CI/CD for data engineering<br/><br/>- Contribute to data strategy and roadmap creation aligned with enterprise objectives<br/><br/>- Partner with business stakeholders (trading, risk, compliance) to translate requirements into technical architecture.<br/><br/>- Provide technical leadership and guidance to engineering teams.<br/><br/><b>Required Skills & Experience : </b><br/><br/>- 15-18 years of experience in Data Engineering / Architecture, with at least 5 years in cloud-native data platforms (AWS) and Snowflake<br/><br/>- Strong expertise in AWS and Snowflake services : S3, Glue, Lambda, Step Functions, IAM, CloudWatch, Snowpipe etc)<br/><br/>- Expert-level proficiency in Snowflake schema design, performance tuning, ELT, security setup, and integration.<br/><br/>- Strong programming skills in Python and PySpark for data transformation and automation.<br/><br/>- Experience with ETL/ELT frameworks (Informatica, Matillion, DBT, Glue).<br/><br/>- Good exposure and understanding of modeling, metadata management, data lineage, and master data concepts.<br/><br/>- Good exposure of data governance frameworks (Collibra, Alation, or custom).<br/><br/>- Exposure and experience to streaming technologies (Kafka, Kinesis) and API-based data integrations.<br/><br/>- Strong understanding of security, compliance, and privacy frameworks (GDPR, HIPAA, etc.)<br/><br/>- Strong problem-solving and analytical mindset.<br/><br/>- Excellent communication and stakeholder management skills.<br/><br/>- Ability to lead and mentor data engineering teams.<br/><br/>- Self-driven, proactive, and capable of implementing technical initiatives end-to-end.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- AWS Certified Data Analytics Specialty / AWS Solutions Architect certification.<br/><br/>- SnowPro Core / SnowPro Advanced Architect Certification.<br/><br/>- Experience working in multi-cloud or hybrid environments.<br/><br/>- Exposure to Databricks or Azure Synapse considered a plus.<br/><br/><b>Education : </b> Bachelors or masters degree in computer science, Data Engineering, or related field.</p><br/></p> (ref:hirist.tech)


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