{"id":3075305,"url":"https://alion.io/job/weekday-databricks-solution-architect","title":"Databricks Solution Architect","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":88,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":58000,"period":"year","method":"role_seniority_country_cell","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"FinOps","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-22T10:42:26Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T19:46:51Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"This role is for one of Weekday’s clients\nMin Experience: 7+ years\nLocation: Remote (India)\nJobType: full-time\nWork Model: As per project requirements\nTechnical Focus: Databricks, Lakehouse Architecture, Cloud Data Platforms, Presales, and Cost Estimation\nAbout the Role\nWe are seeking an experienced Databricks Solution Architect to design scalable, secure, and cost-efficient data engineering solutions while bridging the gap between business requirements, technical architecture, presales, and implementation delivery.\nThe ideal candidate will possess strong hands-on expertise in Databricks, Lakehouse architecture, cloud data platforms, and large-scale data engineering. This role involves engaging with clients to understand business objectives, designing end-to-end data solutions, estimating project effort and infrastructure costs, developing technical proposals, and guiding engineering teams through implementation.\nThe candidate should combine technical depth with client-facing consulting, commercial awareness, and delivery leadership. They must be comfortable presenting architectural recommendations to stakeholders while actively contributing to proof of concepts (POCs), technical reviews, performance optimization, and implementation challenges.\nRequirements\nRoles and Responsibilities\nA. Solution Architecture and Technical Delivery\nDesign end-to-end data engineering and analytics solutions using Databricks Lakehouse architecture.\nDefine scalable architectures for data ingestion, transformation, storage, orchestration, analytics, and downstream data consumption.\nDevelop architecture patterns using Apache Spark, PySpark, SQL, Delta Lake, Unity Catalog, and relevant Databricks services.\nDesign and guide batch and streaming pipelines, ETL/ELT frameworks, data models, and enterprise data integration solutions.\nEvaluate existing data platforms and recommend migration, modernization, and performance optimization strategies.\nEstablish architecture standards, reusable design patterns, engineering best practices, and implementation guidelines.\nGuide data engineering teams on technical design, code quality, scalability, reliability, and performance tuning.\nParticipate in POCs, architecture reviews, technical troubleshooting, and production deployments as required.\nB. Presales and Client Engagement\nEngage with clients to understand business objectives, existing data ecosystems, technical challenges, and project requirements.\nLead technical discovery sessions, requirement-gathering workshops, and solution architecture discussions.\nTranslate business requirements into technical solutions, architecture diagrams, implementation approaches, and delivery roadmaps.\nPrepare technical proposals, solution presentations, RFP/RFI responses, and Statements of Work (SOWs) in collaboration with sales and delivery teams.\nPresent architecture recommendations, technology choices, implementation strategies, assumptions, dependencies, and risks to client stakeholders.\nAssess technical feasibility and recommend appropriate technologies based on business needs, scalability, security, and cost.\nCollaborate with sales, business development, engineering, and delivery teams to develop technically sound and commercially viable proposals.\nSupport solution handover from presales to implementation teams, ensuring alignment between proposed scope and delivery expectations.\nC. Project Estimation and Costing\nEstimate project effort, delivery timelines, resource requirements, and implementation costs based on defined requirements and scope.\nBreak down project scope into phases, work packages, technical activities, deliverables, and milestones.\nDetermine team composition and resource allocation across architecture, data engineering, cloud engineering, QA, and other relevant functions.\nEstimate Databricks platform consumption and cloud infrastructure costs based on expected workloads and proposed architecture.\nEvaluate key cost drivers, including Databricks Units (DBUs), compute sizing, storage, networking, workload frequency, concurrency, and processing requirements.\nPrepare high-level and detailed estimates for new implementations, migrations, platform modernization, and ongoing support engagements.\nIdentify cost optimization opportunities and recommend suitable architecture patterns, compute configurations, and workload-sizing strategies.\nDocument assumptions, exclusions, dependencies, risks, contingencies, and potential cost variations.\nProvide technical and commercial inputs for project pricing, budgeting, and proposal development.\nD. Cloud Architecture and Cost Optimization\nDesign and implement Databricks solutions on Microsoft Azure, AWS, or Google Cloud Platform (GCP), depending on project requirements.\nEvaluate cloud-native services for data ingestion, storage, orchestration, security, monitoring, and system integration.\nEnsure architecture designs meet requirements for scalability, reliability, availability, performance, and maintainability.\nDefine data access, security, governance, and compliance considerations across the proposed architecture.\nOptimize compute utilization, workload execution, storage consumption, and overall cloud platform spending.\nRecommend appropriate monitoring, workload management, and operational practices to improve platform efficiency.\nSupport cloud data platform migrations and modernization initiatives involving enterprise-scale data environments.\nE. Technical Governance and Delivery Leadership\nReview technical designs and implementation plans to ensure alignment with approved architecture and business requirements.\nEstablish technical standards for data pipelines, reusable components, data models, and integration patterns.\nIdentify architecture risks, technical dependencies, and implementation challenges and recommend mitigation strategies.\nMentor engineering teams and provide guidance on Databricks development, cloud architecture, and performance optimization.\nEnsure smooth coordination between client stakeholders, presales teams, architects, and engineering teams throughout the project lifecycle.\nMust-Have Skills\nDatabricks: Strong hands-on experience designing and implementing enterprise-grade solutions on the Databricks platform.\nLakehouse Architecture: Deep understanding of Lakehouse principles, Delta Lake, data storage, processing, governance, and analytics architecture.\nApache Spark: Strong expertise in Apache Spark, PySpark, SQL, distributed processing, and performance tuning.\nExperience designing scalable ETL/ELT pipelines, data models, and data integration frameworks.\nStrong understanding of Unity Catalog, data platform architecture, and enterprise data engineering practices.\nHands-on experience with at least one major cloud ecosystem: Azure, AWS, or GCP.\nExperience with cloud data services, orchestration frameworks, APIs, and enterprise data platforms.\nAbility to estimate project effort, resource requirements, implementation timelines, and platform infrastructure costs.\nExperience with client-facing technical consulting, solution architecture, presales, and proposal development.\nAbility to create architecture diagrams, technical proposals, implementation roadmaps, and cost estimates.\nStrong analytical, presentation, stakeholder-management, and problem-solving skills.\nGood-to-Have Skills\nData Governance: Experience defining data governance frameworks, data ownership, cataloging, lineage, and governance policies.\nAccess Controls: Understanding of role-based access control, identity management, permissions, and secure data access.\nData Security: Knowledge of data protection, encryption, access policies, regulatory compliance, and cloud security best practices.\nExperience with Databricks certifications, including Data Engineer Associate, Data Engineer Professional, or relevant architecture-focused credentials.\nExposure to enterprise data migration, legacy platform modernization, and large-scale data transformation programs.\nFamiliarity with machine learning, Generative AI, and Databricks AI capabilities.\nExperience working with consulting firms, system integrators, cloud service providers, or data engineering service organizations.\nKnowledge of cloud pricing models, platform consumption metrics, FinOps principles, and infrastructure cost optimization.\nExperience supporting proposals from initial client discovery through solution design, estimation, and delivery handover.\nQualifications and Experience\n8-12+ years of overall experience in Data Engineering, Data Architecture, Cloud Data Solutions, or related disciplines.\nStrong hands-on experience with Databricks architecture, Lakehouse implementations, and enterprise data engineering.\nProven track record of designing and delivering scalable cloud-based data solutions.\nDemonstrated experience in client-facing solution architecture, technical presales, project estimation, and commercial discussions.\nPractical understanding of workload sizing, cloud infrastructure pricing, and platform cost calculations.\nRelevant Databricks or cloud certifications are preferred.\nIdeal Candidate Profile\nThe ideal candidate is a technically strong Databricks Solution Architect who can independently engage with clients, understand complex business and technical requirements, design scalable data solutions, and develop realistic project and infrastructure cost estimates.\nThey should be equally comfortable leading presales discussions and validating proposed solutions through hands-on technical involvement. The role requires someone who can build client confidence, make sound architectural decisions, guide engineering teams, and ensure that proposed solutions are technically feasible, commercially viable, secure, and cost-efficient.\nThis is a hybrid architecture, presales, estimation, and technical delivery role-not a presentation-only or purely commercial presales position.\nApplication Requirements\nCandidates should share an updated resume highlighting:\nTotal professional experience and relevant Databricks experience.\nExpertise across Azure, AWS, or GCP.\nExamples of end-to-end data solutions architected and delivered.\nExperience in presales, client engagement, technical proposals, and RFP/RFI responses.\nExperience in project estimation, resource planning, and cloud/platform cost calculations.\nRelevant certifications, notice period, and availability.","description_format":"text","description_chars":10369,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-22T10:42:26Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":1,"expected_fill_days":6,"reasons":["conf:2","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/weekday-databricks-solution-architect","json_url":"https://alion.io/job/weekday-databricks-solution-architect.json","meta":{"generated_at":"2026-10-24T23:00:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":33774,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7097},"rest":"https://alion.io/mcp/rest/get_company?id=7097"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fweekday-databricks-solution-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fweekday-databricks-solution-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fweekday-databricks-solution-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/weekday-databricks-solution-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fweekday-databricks-solution-architect"}]}