{"id":4064582,"url":"https://alion.io/job/hiresquad-resources-staff-data-engineer-snowflakeaws","title":"Staff Data Engineer - Snowflake/AWS","company":{"id":3800141,"name":"Hiresquad Resources","domain":"hiresquad.in","url":"https://alion.io/company/hiresquad-resources","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5500000,"max":6500000,"currency":"INR","period":"year","gross":true,"usd_annual":69323},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"PCI DSS","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T08:58:29Z","employer_posted_date":null,"last_verified_at":"2026-11-11T08:58:29Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Staff Data Engineer / Principal Data Engineer\n\nAbout the Role:\n\nWe are seeking a highly experienced Staff Data Engineer to lead the architecture and implementation of enterprise-scale data platforms supporting large-scale analytics, AI initiatives, and business-critical decision-making. The ideal candidate will bring deep expertise in modern data engineering, cloud technologies, data lakehouse architectures, and real-time data processing while driving technical strategy and mentoring engineering teams.\n\nKey Responsibilities:\n\n- Design and architect scalable, enterprise-grade data solutions aligned with business objectives.\n\n- Build and optimize large-scale data platforms using Snowflake, AWS, Apache Kafka, and Apache Iceberg.\n\n- Lead implementation of real-time data pipelines and event-driven architectures.\n\n- Drive data warehouse optimization, cloud cost management, and performance tuning.\n\n- Develop and enhance lakehouse, dimensional modeling, and analytics solutions.\n\n- Collaborate with senior leadership to define and execute data strategy.\n\n- Mentor senior engineers and guide architectural decision-making across teams.\n\n- Lead complex, cross-functional initiatives spanning multiple engineering groups.\n\n- Support advanced analytics, AI/ML use cases, and data governance initiatives.\n\nRequired Skills & Experience:\n\n- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.\n\n- 10+ years of hands-on experience building large-scale data platforms.\n\n- Expert-level SQL and Python programming skills.\n\n- Strong experience with Snowflake, including architecture, optimization, and cost management.\n\n- Expertise in Apache Kafka, Apache Iceberg, AWS, DBT/SQLMesh, and modern data stack technologies.\n\n- Proven experience designing Kimball dimensional models and star-schema data warehouses.\n\n- Hands-on experience with CI/CD pipelines, Git workflows, and data governance frameworks.\n\n- Knowledge of GDPR, PCI-DSS, and enterprise data compliance standards.\n\n- Experience working with high-volume data environments processing billions of events.\n\n- Exposure to AI/ML ecosystems, MLOps, LLM integrations, and vector databases is preferred.\n\n- Experience in cybersecurity, ad-tech, subscription-based businesses, or similar large-scale data environments is a plus.\n\nWhat We're Looking For:\n\nA technical leader with exceptional architecture skills, strategic thinking, and a proven ability to deliver high-impact data solutions at enterprise scale while influencing engineering teams and business outcomes.\nSkills\nData Engineering, Python, SQL, AWS, Data Warehousing, Data Modeling, Snowflake DB, Kafka","description_format":"text","description_chars":2646,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-11T10:38:10Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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