{"id":1458811,"url":"https://alion.io/job/infosys-databricks-snowflake-power-bi-solution-architecture","title":"Databricks, Snowflake, Power BI, Solution Architecture","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":245,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"Dimensional Modeling","optional":true}],"status":"live","first_seen_at":"2026-09-19T09:56:57Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-15T10:03:03Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":25},"description":"Step into a leadership role where you’ll shape modern data platforms and turn complex business needs into scalable, high-performing analytics solutions. You’ll work at the intersection of cloud data warehousing, lakehouse engineering, and business intelligence-bringing together Databricks, Snowflake, and Power BI to deliver trusted insights and measurable impact. In this role, you’ll collaborate closely with stakeholders, data engineers, analysts, and platform teams to design end-to-end architectures that are secure, governed, and built for growth. If you enjoy guiding teams, setting technical direction, and building data ecosystems that empower decision-making, this is a great opportunity to lead with both strategy and hands-on expertise in a collaborative, outcome-driven environment.\nResponsibilities\nKey Responsibilities:\nSolution Architecture & Technical Leadership\nLead end-to-end solution architecture for enterprise analytics platforms using Snowflake, Databricks, and Power BI.\nTranslate business requirements into scalable data architecture, integration patterns, and analytics designs.\nDefine reference architectures, design standards, and best practices for data modeling, performance, and governance.\nProvide technical leadership, mentoring, and design reviews to ensure high-quality delivery across teams.\nData Platform Engineering (Snowflake & Databricks)\nArchitect and oversee implementation of Snowflake data warehouse solutions, including schema design, workload optimization, and cost governance.\nDesign Databricks lakehouse patterns for ingestion, transformation, and scalable processing aligned to enterprise needs.\nEstablish robust pipelines and data lifecycle practices to ensure reliability, observability, and maintainability.\nDrive performance tuning across compute, storage, and query execution for both Snowflake and Databricks workloads.\nAnalytics & BI Enablement (Power BI)\nDefine semantic layer and reporting architecture to enable consistent, trusted metrics and self-service analytics in Power BI.\nGuide dashboard/report development standards, including performance optimization and user experience best practices.\nPartner with business teams to ensure insights are actionable and aligned to decision-making workflows.\nDelivery, Stakeholder Management & Governance\nOwn technical delivery planning, estimation, and risk management for complex, multi-stream initiatives.\nCollaborate with security and governance stakeholders to implement access controls, data governance, and compliance-aligned designs.\nCommunicate architecture decisions, trade-offs, and roadmap recommendations to technical and non-technical audiences.\nMinimum Qualifications:\nBachelor’s or Master’s degree in Engineering/Computer Applications/Science (BTECH, MTECH, MCA, MSC) or equivalent.\n12-14 years of overall experience in data engineering, analytics platforms, and solution architecture roles.\nStrong hands-on and architectural expertise in Snowflake and Databricks for enterprise-scale data solutions.\nProven experience delivering Power BI reporting/semantic models and enabling business-facing analytics.\nDemonstrated ability to lead technical design discussions, mentor teams, and drive architecture governance.\nTechnical requirements\nTechnology->Cloud Platform->Power Platform->Power BI\nTechnology->Data Engineering->Databricks\nTechnology->Data on Cloud-DataStore->Snowflake\nAdditional responsibilities\nPreferred Qualifications:\nExperience designing lakehouse + warehouse coexistence patterns and selecting the right approach per workload.\nStrong understanding of dimensional modeling, semantic modeling, and enterprise KPI standardization for BI adoption.\nExpertise in performance and cost optimization strategies for Snowflake and Databricks at scale.\nExperience establishing platform best practices for reliability, monitoring, and operational readiness across data pipelines and BI assets.\nStrong stakeholder management skills with a track record of influencing architecture decisions across business and engineering teams.\nPreferred skills\nTechnology->Data Engineering->Databricks,Technology->Cloud Platform->Power Platform->Power BI,Technology->Data on Cloud-DataStore->Snowflake\nEducation\nMCA,MSc,MTech,Bachelor of 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