11+ Snow flake schema Jobs in Mumbai | Snow flake schema Job openings in Mumbai

About the Role

We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.

Key Responsibilities

·      Design and implement scalable, secure, and high-performance data architectures using Snowflake.

·      Define enterprise data models, data warehouse architecture, and best practices for data governance.

·      Design and optimize ELT/ETL pipelines for structured and semi-structured data.

·      Lead Snowflake implementation, migration, and modernization initiatives.

·      Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.

·      Design data integration solutions using cloud-native and third-party ETL tools.

·      Establish security frameworks, role-based access control (RBAC), data masking, and governance policies. 

·      Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.

·      Conduct architecture reviews, performance tuning, and capacity planning.

·      Mentor technical teams and establish development standards and best practices.

·      Support CI/CD implementation and DevOps practices for data platforms.

·      Prepare technical documentation, architecture diagrams, and solution design documents. 

Required Skills & Experience

·      10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.

·      Strong expertise in Snowflake Data Cloud architecture and administration.

·      Experience designing enterprise-scale data warehouse and lakehouse solutions.

·      Strong SQL programming and query optimization skills.

·      Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.

·      Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

·      Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).

·      Experience with performance tuning, workload optimization, and Snowflake cost optimization.

·      Knowledge of data security, governance, encryption, and compliance best practices.

·      Experience with Git, CI/CD pipelines, and Agile development methodologies. 

Preferred Skills

·      Snowflake certifications (SnowPro Core or SnowPro Advanced).

·      Experience with Python, Scala, or Java for data engineering tasks. 

·      Knowledge of Apache Spark, Kafka, or other big data technologies.

·      Exposure to Power BI, Tableau, or other BI and visualization tools.

·      Experience working with large-scale enterprise data migration projects.

·      Understanding of DataOps and MLOps practices. 

Educational Qualification

·      Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

·      Strong analytical and problem-solving skills.

·      Excellent communication and stakeholder management abilities.

·      Proven experience in leading architecture discussions and technical solution design.

·      Ability to mentor teams and drive technical excellence.

·      Self-driven, proactive, and capable of working effectively in a remote environment.

Visionyle is Hiring for UK Based Company- Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure

· Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

· The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.

· With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Visionyle is Hiring Lead Data Architect 

Role:

· Lead Data Architect Snowflake

Job Location: Mumbai, Pune

Experience: 15-25 yrs

Client: Capita

Job Type: FTE

Job Description: 

· Mandatory Skills:

• Data Architecture, Microsoft Azure, Databricks, Snowflake, Azure Synapse Analytics, Data Modelling, Application Integration, Presales.

· Good to Have Skills:

• Microsoft Fabric, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure
• Experience in end-to-end project all aspects of our delivery right from initiating a project from technology side, initiating a project meaning understanding the requirements from stakeholder, designing architecture in it right up to production and production support organization, support, pre-sales, estimations, costing.

Certifications:

Candidates possessing one or more of the following certifications will be highly preferred:

• Databricks Certified Data Engineer Associate or Professional

• Databricks Partner Solution Architect Champion

• SnowPro Advanced: Data Engineer

• SnowPro Advanced: Architect

• Microsoft Azure Certifications in Data Engineering, Artificial Intelligence (AI), or Solution Architecture.

Applicants holding any of the above certifications are encouraged to apply.

Roles & Responsibilities:

• The Lead Data Architect is responsible for providing strategic leadership and technical expertise in data architecture to drive innovation and excellence in solution delivery.
• With a focus in client satisfaction and project success, lead a team of data professionals, providing mentorship, guidance and support to ensure the successful execution of projects

Strong Snowflake Data Architect profile (Cloud Data Platform / AI-led Data Transformation)

Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture, with strong focus on building enterprise-scale data platforms

Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Snowflake architecture, including designing and implementing scalable data warehouse solutions

Mandatory (Experience 3) – Strong expertise in Snowflake features including Resource Monitors, RBAC, Virtual Warehouses, Time Travel, Zero Copy Clone, and query performance optimization

Mandatory (Experience 4) – Proven experience building and managing data ingestion pipelines using Snowpipe, handling structured, semi-structured (JSON, XML), and columnar data formats (Parquet)

Mandatory (Experience 5) – Strong experience in cloud ecosystem, preferably AWS, including S3, Lambda, EC2, Redshift, and integration with Snowflake-based architectures

Mandatory (Experience 6) – Proven experience in migrating data from on-premise or legacy systems to Snowflake, including data modeling, transformation, and validation

Mandatory (Experience 7) – Hands-on experience in SQL, SnowSQL, Python, or PySpark for data transformation, automation, and monitoring

Mandatory (Experience 8) – Experience in data modeling, partitioning, micro-partitions, and re-clustering strategies in Snowflake

Mandatory (Experience 9) – Must have experience working in client-facing or consulting roles, including requirement gathering, solution design, and stakeholder communication

Mandatory (Skill 1) – Strong understanding of end-to-end data architecture including ETL/ELT pipelines, data lakes, and warehouse integration

Mandatory (Skill 2) – Experience in designing monitoring and automation frameworks using Python, Bash, or similar tools

Mandatory (Skill 3) – Ability to translate business requirements into scalable technical solutions and define future-state data architecture roadmaps

Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days

JD - 

We are looking for a strong Data Engineer having hands on experience in building pipelines using Snowflake and DBT.

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Required Skills:

• 6+ years of experience in building data engineering pipelines.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience working with modern columnar/MPP data warehouses, preferably Snowflake.
• Knowledge of Python for data manipulation and workflow automation (preferred).
• Good understanding of data modeling concepts, ETL/ELT processes, and best practice.

Strong Enterprise Data Modeller profile (Modern Data Platforms)

Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms

Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools

Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.

Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.

Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams

Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Mandatory (Note) – Total experience should not be greater than 14 years

Role Overview:

We are seeking a talented and experienced Data Architect with strong data visualization capabilities to join our dynamic team in Mumbai. As a Data Architect, you will be responsible for designing, building, and managing our data infrastructure, ensuring its reliability, scalability, and performance. You will also play a crucial role in transforming complex data into insightful visualizations that drive business decisions. This role requires a deep understanding of data modeling, database technologies (particularly Oracle Cloud), data warehousing principles, and proficiency in data manipulation and visualization tools, including Python and SQL.

Responsibilities:

• Design and implement robust and scalable data architectures, including data warehouses, data lakes, and operational data stores, primarily leveraging Oracle Cloud services.
• Develop and maintain data models (conceptual, logical, and physical) that align with business requirements and ensure data integrity and consistency.
• Define data governance policies and procedures to ensure data quality, security, and compliance.
• Collaborate with data engineers to build and optimize ETL/ELT pipelines for efficient data ingestion, transformation, and loading.
• Develop and execute data migration strategies to Oracle Cloud.
• Utilize strong SQL skills to query, manipulate, and analyze large datasets from various sources.
• Leverage Python and relevant libraries (e.g., Pandas, NumPy) for data cleaning, transformation, and analysis.
• Design and develop interactive and insightful data visualizations using tools like [Specify Visualization Tools - e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly] to communicate data-driven insights to both technical and non-technical stakeholders.
• Work closely with business analysts and stakeholders to understand their data needs and translate them into effective data models and visualizations.
• Ensure the performance and reliability of data visualization dashboards and reports.
• Stay up-to-date with the latest trends and technologies in data architecture, cloud computing (especially Oracle Cloud), and data visualization.
• Troubleshoot data-related issues and provide timely resolutions.
• Document data architectures, data flows, and data visualization solutions.
• Participate in the evaluation and selection of new data technologies and tools.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• Proven experience (typically 5+ years) as a Data Architect, Data Modeler, or similar role. 
• 
  
• Deep understanding of data warehousing concepts, dimensional modeling (e.g., star schema, snowflake schema), and ETL/ELT processes.
• Extensive experience working with relational databases, particularly Oracle, and proficiency in SQL.
• Hands-on experience with Oracle Cloud data services (e.g., Autonomous Data Warehouse, Object Storage, Data Integration).
• Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Demonstrated ability to create compelling and effective data visualizations using industry-standard tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly).
• Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
• Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences. 
• Experience with data governance and data quality principles.
• Familiarity with agile development methodologies.
• Ability to work independently and collaboratively within a team environment.
• 
  

Application Link- https://forms.gle/km7n2WipJhC2Lj2r5

• Strong Snowflake Cloud database experience Database developer.
• Knowledge of Spark and Databricks is desirable.
• Strong technical background in data modelling, database design and optimization for data warehouses, specifically on column oriented MPP architecture 
• Familiar with technologies relevant to data lakes such as Snowflake
• Candidate should have strong ETL & database design/modelling skills. 
• Experience creating data pipelines
• Strong SQL skills and debugging knowledge and Performance Tuning exp.
• Experience with Databricks / Azure is add on /good to have . 
• Experience working with global teams and global application environments
• Strong understanding of SDLC methodologies with track record of high quality deliverables and data quality, including detailed technical design documentation desired

• +2 years experience working as a react.js developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Redux, Material UI.
• Experience with user interface design & user experience design
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.
• Developing applications in React including component design and state management for specific use cases
• Experience working with at least one SQL and NoSQL Database (MongoDB, SQL Server, Snowflake, Postgres preferred)
• Basic experience with AWS platform