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Urgent! Data Architect - Python Programming - Local Job Opening in Bengaluru
<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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Unlock Your Data Architect Potential: Insight & Career Growth Guide
Real-time Data Architect Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Architect in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 221174 jobs in India and 18289 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Data Architect roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SUPERSEVA GLOBAL SERVICES PRIVATE LIMITED is currently hiring and seeking a Data Architect Python Programming to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SUPERSEVA GLOBAL SERVICES PRIVATE LIMITED adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Architect Python Programming Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Architect Python Programming typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Architect Python Programming interview at SUPERSEVA GLOBAL SERVICES PRIVATE LIMITED, research the company, understand the job requirements, and practice common interview questions.
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