CrawlJobs Logo

Snowflake Data Platform Lead

India · Job Posted June 03, 2026
Apply Position
Job Link Share

Job Description

Snowflake Data Platform Lead Position Overview Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions, driving cloud-native data architecture initiatives and establishing scalable analytics capabilities. Key Responsibilities Platform Architecture & Strategy: • Design and implement enterprise-scale Snowflake data platform architectures • Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities • Define data governance, security, and access control frameworks • Lead platform assessments, optimization initiatives, and strategic planning Technical Implementation: • Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations • Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala • Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity • Establish monitoring, alerting, and cost management best practices Integration & Analytics: • Design integrations with BI tools, data visualization platforms, and analytics applications • Enable advanced analytics and machine learning workflows using Snowpark ML • Implement real-time and batch data processing patterns • Lead data platform migrations and modernization projects Required Qualifications Technical Expertise: • 7+ years enterprise data platform experience with focus on cloud-native architectures • 4+ years hands-on Snowflake experience (development, administration, optimization) • Expert-level SQL and experience with Snowpark (Python/Scala) • Strong understanding of cloud data architecture, security, and governance • Experience with data integration tools and modern data stack components Platform Experience: • Multi-source data integration including databases, APIs, files, and streaming data • Performance optimization, cost management, and warehouse scaling strategies • Data governance, compliance, and security framework implementation • Enterprise-scale data migration and platform consolidation projects Leadership & Communication: • Proven track record leading technical teams and complex data initiatives • Experience with stakeholder management and cross-functional collaboration • Strong analytical and problem-solving capabilities • Documentation and knowledge transfer expertise Preferred Qualifications • Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer) • Multi-cloud platform experience (AWS, Azure, GCP) • dbt (data build tool) and modern data transformation frameworks • Machine learning and MLOps experience in cloud environments • Industry-specific data platform experience and domain expertise About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Job Responsibility

  • Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions
  • Drive cloud-native data architecture initiatives
  • Establish scalable analytics capabilities
  • Design and implement enterprise-scale Snowflake data platform architectures
  • Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities
  • Define data governance, security, and access control frameworks
  • Lead platform assessments, optimization initiatives, and strategic planning
  • Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations
  • Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala
  • Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity
  • Establish monitoring, alerting, and cost management best practices
  • Design integrations with BI tools, data visualization platforms, and analytics applications
  • Enable advanced analytics and machine learning workflows using Snowpark ML
  • Implement real-time and batch data processing patterns
  • Lead data platform migrations and modernization projects

Requirements

  • 7+ years enterprise data platform experience with focus on cloud-native architectures
  • 4+ years hands-on Snowflake experience (development, administration, optimization)
  • Expert-level SQL and experience with Snowpark (Python/Scala)
  • Strong understanding of cloud data architecture, security, and governance
  • Experience with data integration tools and modern data stack components
  • Multi-source data integration including databases, APIs, files, and streaming data
  • Performance optimization, cost management, and warehouse scaling strategies
  • Data governance, compliance, and security framework implementation
  • Enterprise-scale data migration and platform consolidation projects
  • Proven track record leading technical teams and complex data initiatives
  • Experience with stakeholder management and cross-functional collaboration
  • Strong analytical and problem-solving capabilities
  • Documentation and knowledge transfer expertise

Nice to have

  • Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer)
  • Multi-cloud platform experience (AWS, Azure, GCP)
  • dbt (data build tool) and modern data transformation frameworks
  • Machine learning and MLOps experience in cloud environments
  • Industry-specific data platform experience and domain expertise

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Snowflake Data Platform Lead

8 matching positions

Snowflake - Senior Technical Lead

Position: Snowflake - Senior Technical Lead; Experience: 8-11 years; Education: ...
Location
Location
India , Noida; Bangalore
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Snowflake
  • Snowpipe
  • SQL
  • Data Modelling
  • DV 2.0
  • Data Quality
  • AWS
  • Snowflake Security
Job Responsibility
Job Responsibility
  • Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost
  • Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe)
  • Automate schema migrations, deployments, and pipeline orchestration
  • Monitor query performance and resource utilization
  • tune warehouses, caching, and clustering
  • Implement workload isolation for concurrent workloads
  • Define and enforce role-based access control (RBAC), masking policies, and object tagging
  • Ensure data encryption, compliance, and audit logging are correctly configured
  • Establish best practices for dimensional modeling and data vault architecture
  • Create and maintain data dictionaries, lineage documentation, and governance standards
What we offer
What we offer
  • Inclusive work environment
  • Open positions for people with disabilities
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...
Location
Location
United States , San Francisco
Salary
Salary:
253500.00 - 380500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
  • Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
  • Hands-on experience with Looker or other BI/semantic modeling tools
  • Strong understanding of graph-based data models, recommendation systems, and personalization architectures
  • Expertise in data modeling, metadata management, and semantic layers
  • Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
  • Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
  • Strong foundation in data governance, lineage, cataloging, and compliance frameworks
  • Excellent communication and leadership skills to align technical direction across diverse teams
Job Responsibility
Job Responsibility
  • Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
  • Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
  • Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
  • Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
  • Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
  • Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
  • Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
  • Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
  • Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
  • Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • equity
  • Fulltime
Read More
Arrow Right

Lead Product Manager, Data & A.I

We seek an innovative, customer-focused leader to lead the Data platform and AI ...
Location
Location
Salary
Salary:
176000.00 - 289800.00 USD / Year
velocityglobal.com Logo
Velocity Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of Product Management experience
  • Computer Science background or equivalent technical experience
  • Passion for and experience building data platforms and AI agents
  • Deep understanding of RAG, and unstructured data processing
  • Experience of leading initiatives across engineering and cross functional teams, to influence roadmap planning and execution
  • Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
Job Responsibility
Job Responsibility
  • Work with cross functional teams to develop vision and strategy for the Data platform, data quality and governance
  • Align with strategy for multiple teams and create and drive a portfolio of cross-functional initiatives
  • Clearly articulate the business problems pertaining to data, gather evidence from users and outside sources, clarify the potential solutions
  • Define the roadmap with deep understanding of the underlying data architecture, and drive prioritization of functional & non-functional requirements
  • Create user stories, and partner with data and product engineering teams to manage product backlog and execution through scrum teams
  • Serve as primary evangelist of data platform and capabilities with customers, internal executive stakeholders
  • Drive outcomes aligned with business teams and AI&D OKRs and report key metrics driving product effectiveness, utilization and satisfaction
What we offer
What we offer
  • Flexible Time Off
  • Parental Leave
  • Health and Dental Insurance
  • Retirement Savings + Employee Incentive Plan
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Certifications in Azure, Databricks, or Snowflake are a plus
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...
Location
Location
Salary
Salary:
Not provided
dataideology.com Logo
Data Ideology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, data warehousing, or data architecture
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
  • Strong SQL and Python skills, with production experience using dbt
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
  • Prior experience in a consulting or client-facing delivery role
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders
  • SnowPro Core Certification required (or willingness to obtain upon hire)
  • advanced Snowflake certifications preferred
Job Responsibility
Job Responsibility
  • Design and build scalable, secure, and cost-effective data solutions in Snowflake
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
  • Contribute to internal accelerators, frameworks, and proofs of concept
  • Mentor junior engineers and support knowledge sharing across the team
What we offer
What we offer
  • Flexible Time Off Policy
  • Eligibility for Health Benefits
  • Retirement Plan with Company Match
  • Training and Certification Reimbursement
  • Utilization Based Incentive Program
  • Commission Incentive Program
  • Referral Bonuses
  • Work from Home
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
  • Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right