Snowflake – Data Governance & Security

Zohorecruit; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Algoleap Technologies Pvt Ltd is seeking a Snowflake Data Governance SME to lead the design and implementation of the Pacific Data Platform, ensuring governance compliance and secure analytics and reporting.

The role demands hands-on experience in securing enterprise data, building scalable data architectures, implementing RAP, RBAC, masking, and policy automation, while collaborating with business, security, governance, and engineering teams.

Qualifications

• 8+ years of experience in data architecture, data engineering, or enterprise data platforms with substantial Snowflake experience.
• Experience implementing RAP, RBAC, masking, and data governance practices.
• Hands-on with Streamlit, Cortex Analyst and Cortex tools for analytics and AI interfaces.
• Strong SQL and Python skills for data processing and optimization.
• Knowledge of cloud data integration, security, audits, and governance controls.

Responsibilities

• Define and implement Data Governance standards covering ownership, classification, lineage, quality, and compliance.
• Design and maintain Row Access Policies (RAP) to control data visibility by region, market, business unit, and user entitlement.
• Implement RBAC, role hierarchies, least-privilege access, and database-level permissions.
• Protect sensitive data through dynamic data masking, tagging policies, and access reviews with audit monitoring.
• Design scalable data models and guide data integration, SQL optimization, and Snowflake performance tuning.
• Automate deployment of security policies and database changes using Git, Azure DevOps, and CI/CD; collaborate with teams to enforce standards.

Skills

Data governance

Snowflake

Leadership

Communication

Stakeholder management

Architectural leadership

Education

Bachelor’s or Master’s degree in computer science / IT / Engineering

Snowflake, cloud or data architecture certifications preferred

Tools

Git

Azure DevOps

CI/CD

AWS

Python

SQL

Job description

Algoleap Technologies Pvt Ltd | Full time

The Snowflake Data GovernanceSME

The Snowflake Data GovernanceSME will lead the design and implementation of the Pacific Data Platform, withprimary responsibility for ensuring the Pacific data platform iscompliant with data governance best practices. The role requires strong hands-on experience securing enterprise datawhile supporting scalable analytics, reporting, and application requirements.

Key Responsibilities

• Define and implement Data Governance standards covering data ownership,classification, lineage, quality, and compliance.
• Design and maintain Row Access Policies (RAP) to control data visibility byregion, market, business unit, and user entitlement.
• Implement Role-Based Access Control (RBAC), role hierarchies, least-privilegeaccess, and database-level permissions.
• Protect sensitive data through dynamic data masking, tag-based policies, and column-level security. Establish access reviews, audit monitoring, and secure authentication andintegration practices.
• Design scalable data models and guide data integration, SQL optimization, andSnowflake performance tuning.
• Automate deployment of security policies and database changes using Git, Azure DevOps, and CI/CD .Collaborate with business, security, governance, and engineering teamsto enforce architecture standards.

Key Qualifications

Experience: 8+years of overall experience in data architecture, data engineering, orenterprise data platforms, with substantial hands-on Snowflake experience.Proven ability to lead solution design, data modelling, integration, andimplementation of scalable enterprise platforms.

Data Governance and Snowflake Security

Strong hands-on expertise in defining governance frameworks coveringdata ownership, stewardship, classification, metadata, lineage, and dataquality. Proven experience implementing Row Access Policies (RAP), Role-BasedAccess Control (RBAC), role hierarchies, least-privilege permissions, dynamicdata masking, and tag-based masking. Ability to enforce access at database,schema, object, row, and column levels.

Streamlit and Snowflake Cortex

Experience developing interactive Streamlit applications for analyticsand conversational data access. Hands-on knowledge of Cortex Analyst andsemantic modelling for natural-language queries, Cortex Search for informationretrieval, and Cortex Agents for orchestrating analytical and search capabilities.Ability to evaluate response accuracy and implement appropriate access controls forAI applications.

SQL, Python, and Performance Optimization

Advanced SQL skillscovering complex queries, stored procedures, incremental processing, and querytuning. Strong Python experience for data processing, API integration, andautomation. Ability to analyze query profiles, optimize warehouse usage, andbalance performance with cost.

Governance Controls and Compliance

Experience protecting sensitive and personally identifiable informationthrough classification, masking, and controlled access. Ability to conductaccess reviews, monitor user activity, maintain audit evidence, and implementcontrols aligned with organizational privacy, retention, and compliancerequirements.

Data Integration

Experience building reliable ingestion and transformation pipelinesusing Python, Azure Data Factory, AWS Glue, or equivalent tools. Strongunderstanding of full loads, incremental loads, Change Data Capture (CDC), datavalidation, error handling, and pipeline monitoring.

Cloud and DevOps

Familiarity with AWS services such as S3 and IAM, including secureintegration with Snowflake. Experience with Git, Azure DevOps, and CI/CDpipelines to version, review, test, and deploy database objects, securitypolicies, and application changes across environments.

Education

Bachelor’sor master’s degree in computer science, Information Technology, Engineering, ora related field. Relevant Snowflake, cloud, or data architecture certificationsare preferred.

Personal Strengths

Communication

Abilityto explain architecture, governance, security, and AI concepts clearly totechnical teams and business stakeholders.

Stakeholder Management

Ability to collaborate with data owners, security teams, applicationteams, and business leaders to align requirements and resolve priorities.

Architectural Leadership

Ability to define standards, evaluate design decisions, mentorengineers, and guide teams toward secure and maintainable solutions.

Delivery Management

Ability to manage multiple initiatives, dependencies, and timelinesacross distributed teams.

Problem-Solving

Stronganalytical judgment, with the ability to clarify ambiguous requirements,identify risks, and recommend practical solutions.