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Open nowPosted 15 hours ago

Associate Principal Engineer

Nagarro604 open roles

Where
Hyderabad, India
Work mode
On site
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Your applicationOpen nowAssociate Principal EngineerNagarro · Hyderabad, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nagarro's own form.

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Nagarro postings stay open a median of 21 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 15 hours ago

Nagarro median: 21 days open

The posting

Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

  • Experience : 9+years
  • Strong experience in data architecture, data engineering, or enterprise data platforms, with substantial hands-on experience in Snowflake.
  • Strong expertise in Technology Architecture and Data Architecture, including solution design, data modeling, integration, and implementation of scalable enterprise platforms.
  • Strong hands-on experience with Snowflake security, data governance frameworks, access management, and compliance controls.
  • Proficiency in Snowflake Row Access Policies (RAP), Role-Based Access Control (RBAC), role hierarchies, least-privilege permissions, dynamic data masking, and tag-based masking policies.
  • Experience enforcing access controls at database, schema, object, row, and column levels.
  • Strong understanding of data ownership, stewardship, classification, metadata management, data lineage, data quality, and audit requirements.
  • Strong SQL skills, including complex queries, stored procedures, incremental processing, and query performance tuning.
  • Strong Python programming skills for data processing, API integration, automation, and pipeline development.
  • Experience with PostgreSQL and enterprise database architecture, including data modeling, integration, and performance optimization.
  • Hands-on experience with Streamlit application development and Snowflake Cortex capabilities, including Cortex Analyst, Cortex Search, Cortex Agents, and semantic modeling.
  • Ability to evaluate AI-generated responses and implement appropriate security and governance controls for AI applications.
  • Experience building and managing data ingestion and transformation pipelines using Azure Data Factory, AWS Glue, Python, or equivalent tools.
  • Strong understanding of full loads, incremental loads, CDC, data validation, error handling, and pipeline monitoring.
  • Familiarity with AWS services such as S3 and IAM, including secure integration with Snowflake.
  • Experience using Git, Azure DevOps, and CI/CD pipelines to version, review, test, and deploy database objects, security policies, and application changes across environments.
  • Knowledge of data privacy, PII protection, access reviews, audit evidence, data retention, and regulatory compliance requirements.
  • Strong architectural leadership skills, with the ability to define standards, evaluate design decisions, and guide technical teams toward secure and maintainable solutions.
  • Excellent communication and stakeholder management skills, with the ability to explain complex architecture, governance, security, and AI concepts to technical and business audiences.
  • Strong analytical and problem-solving abilities, including the capacity to clarify ambiguous requirements, identify risks, and recommend practical solutions.
  • Ability to manage multiple initiatives, dependencies, and timelines while collaborating with distributed teams.
  • Experience mentoring engineers and driving technical excellence across data architecture and engineering teams.
  • PL/SQL knowledge is desirable.
  • Relevant Snowflake, cloud, or data architecture certifications are preferred.

Responsibilities

  • Define, implement, and maintain enterprise data governance standards covering data ownership, stewardship, classification, metadata, lineage, data quality, and compliance.
  • Design and implement secure, scalable Snowflake data architectures aligned with enterprise architecture and security standards.
  • Develop and maintain Snowflake Row Access Policies (RAP) to control data visibility based on region, market, business unit, and user entitlements.
  • Implement Role-Based Access Control (RBAC), role hierarchies, least-privilege access, and database-level permissions.
  • Protect sensitive and personally identifiable information (PII) using dynamic data masking, tag-based masking policies, and column-level security.
  • Enforce access controls across database, schema, object, row, and column levels.
  • Establish access reviews, audit monitoring, secure authentication, and integration practices to meet organizational privacy, retention, and compliance requirements.
  • Design scalable data models and provide architectural guidance on data integration, SQL optimization, and Snowflake performance tuning.
  • Develop and optimize SQL and Python solutions for data processing, automation, integration, and incremental data processing.
  • Build and maintain reliable data ingestion and transformation pipelines using Python, Azure Data Factory, AWS Glue, or equivalent technologies.
  • Implement full-load, incremental-load, and Change Data Capture (CDC) processes with appropriate data validation, error handling, and pipeline monitoring.
  • Develop interactive Streamlit applications to enable analytics and conversational access to enterprise data.
  • Implement Snowflake Cortex Analyst, Cortex Search, Cortex Agents, and semantic models to support natural-language queries, information retrieval, and AI-driven analytics.
  • Evaluate AI response accuracy and ensure appropriate data governance, security, and access controls within AI-enabled applications.
  • Analyze Snowflake query profiles, optimize warehouse utilization, and balance performance with cost efficiency.
  • Automate the deployment of database objects, security policies, and application changes using Git, Azure DevOps, and CI/CD pipelines.
  • Integrate Snowflake securely with cloud services, including AWS S3 and IAM.
  • Collaborate with business stakeholders, data owners, security teams, governance teams, and engineering teams to establish and enforce architecture standards.
  • Lead solution design, assess technical risks, resolve architectural challenges, and guide implementation decisions across enterprise data initiatives.
  • Mentor engineers, review technical designs, and promote secure, scalable, maintainable, and compliant data solutions.
  • Manage multiple initiatives, dependencies, and delivery timelines while ensuring alignment with business and technology objectives.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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