{"id":3386220,"url":"https://alion.io/job/nagarro-associate-principal-engineer-7","title":"Associate Principal Engineer","company":{"id":2457,"name":"Nagarro","domain":"nagarro.com","url":"https://alion.io/company/nagarro","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":84,"open_postings":32,"ghost_share":0,"stale_share":0.656,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Azure","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-28T06:12:54Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-07T19:46:35Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"We're Nagarro.\nWe 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!\n Requirements\nExperience : 9+years\nStrong experience in data architecture, data engineering, or enterprise data platforms, with substantial hands-on experience in Snowflake.\nStrong expertise in Technology Architecture and Data Architecture, including solution design, data modeling, integration, and implementation of scalable enterprise platforms.\nStrong hands-on experience with Snowflake security, data governance frameworks, access management, and compliance controls.\nProficiency in Snowflake Row Access Policies (RAP), Role-Based Access Control (RBAC), role hierarchies, least-privilege permissions, dynamic data masking, and tag-based masking policies.\nExperience enforcing access controls at database, schema, object, row, and column levels.\nStrong understanding of data ownership, stewardship, classification, metadata management, data lineage, data quality, and audit requirements.\nStrong SQL skills, including complex queries, stored procedures, incremental processing, and query performance tuning.\nStrong Python programming skills for data processing, API integration, automation, and pipeline development.\nExperience with PostgreSQL and enterprise database architecture, including data modeling, integration, and performance optimization.\nHands-on experience with Streamlit application development and Snowflake Cortex capabilities, including Cortex Analyst, Cortex Search, Cortex Agents, and semantic modeling.\nAbility to evaluate AI-generated responses and implement appropriate security and governance controls for AI applications.\nExperience building and managing data ingestion and transformation pipelines using Azure Data Factory, AWS Glue, Python, or equivalent tools.\nStrong understanding of full loads, incremental loads, CDC, data validation, error handling, and pipeline monitoring.\nFamiliarity with AWS services such as S3 and IAM, including secure integration with Snowflake.\nExperience using Git, Azure DevOps, and CI/CD pipelines to version, review, test, and deploy database objects, security policies, and application changes across environments.\nKnowledge of data privacy, PII protection, access reviews, audit evidence, data retention, and regulatory compliance requirements.\nStrong architectural leadership skills, with the ability to define standards, evaluate design decisions, and guide technical teams toward secure and maintainable solutions.\nExcellent communication and stakeholder management skills, with the ability to explain complex architecture, governance, security, and AI concepts to technical and business audiences.\nStrong analytical and problem-solving abilities, including the capacity to clarify ambiguous requirements, identify risks, and recommend practical solutions.\nAbility to manage multiple initiatives, dependencies, and timelines while collaborating with distributed teams.\nExperience mentoring engineers and driving technical excellence across data architecture and engineering teams.\nPL/SQL knowledge is desirable.\nRelevant Snowflake, cloud, or data architecture certifications are preferred.\nResponsibilities\nDefine, implement, and maintain enterprise data governance standards covering data ownership, stewardship, classification, metadata, lineage, data quality, and compliance.\nDesign and implement secure, scalable Snowflake data architectures aligned with enterprise architecture and security standards.\nDevelop and maintain Snowflake Row Access Policies (RAP) to control data visibility based on region, market, business unit, and user entitlements.\nImplement Role-Based Access Control (RBAC), role hierarchies, least-privilege access, and database-level permissions.\nProtect sensitive and personally identifiable information (PII) using dynamic data masking, tag-based masking policies, and column-level security.\nEnforce access controls across database, schema, object, row, and column levels.\nEstablish access reviews, audit monitoring, secure authentication, and integration practices to meet organizational privacy, retention, and compliance requirements.\nDesign scalable data models and provide architectural guidance on data integration, SQL optimization, and Snowflake performance tuning.\nDevelop and optimize SQL and Python solutions for data processing, automation, integration, and incremental data processing.\nBuild and maintain reliable data ingestion and transformation pipelines using Python, Azure Data Factory, AWS Glue, or equivalent technologies.\nImplement full-load, incremental-load, and Change Data Capture (CDC) processes with appropriate data validation, error handling, and pipeline monitoring.\nDevelop interactive Streamlit applications to enable analytics and conversational access to enterprise data.\nImplement Snowflake Cortex Analyst, Cortex Search, Cortex Agents, and semantic models to support natural-language queries, information retrieval, and AI-driven analytics.\nEvaluate AI response accuracy and ensure appropriate data governance, security, and access controls within AI-enabled applications.\nAnalyze Snowflake query profiles, optimize warehouse utilization, and balance performance with cost efficiency.\nAutomate the deployment of database objects, security policies, and application changes using Git, Azure DevOps, and CI/CD pipelines.\nIntegrate Snowflake securely with cloud services, including AWS S3 and IAM.\nCollaborate with business stakeholders, data owners, security teams, governance teams, and engineering teams to establish and enforce architecture standards.\nLead solution design, assess technical risks, resolve architectural challenges, and guide implementation decisions across enterprise data initiatives.\nMentor engineers, review technical designs, and promote secure, scalable, maintainable, and compliant data solutions.\nManage multiple initiatives, dependencies, and delivery timelines while ensuring alignment with business and technology objectives.\n Bachelor’s or 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