{"id":2594101,"url":"https://alion.io/job/crescendo-global-technical-lead-data-architect","title":"Technical Lead - Data Architect","company":{"id":721309,"name":"Crescendo Global","domain":"crescendo-global.com","url":"https://alion.io/company/crescendo-global","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-15T05:36:38Z","employer_posted_date":null,"last_verified_at":"2026-10-15T05:36:38Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Technical Lead / Data Architect Azure | 8+ Years | Bangalore\n\nHiring an experienced Technical Lead / Data Architect to drive end-to-end technical architecture and delivery of cloud and data engineering projects. This is an excellent opportunity for professionals with strong expertise in Azure, Azure Databricks, Python, Data Engineering, Solution Architecture, and technical leadership.\n\nLocation: Bangalore\n\nExperience: 8+ Years\n\nYour Future Employer: A leading global AI and Analytics organization specializing in strategic consulting, advanced analytics, data engineering, MLOps, data visualization, and AI-powered solutions, with a strong focus on Generative AI technologies.\n\nResponsibilities:\n\n- Own end-to-end technical architecture and delivery of cloud and data engineering projects.\n\n- Design scalable Azure and Databricks-based data platforms, pipelines, and solutions.\n\n- Develop backend services, REST APIs, and microservices using Python and related technologies.\n\n- Lead and mentor cross-functional teams across development, data engineering, QA, and DevOps.\n\n- Manage DevOps, deployment, and release processes, including Docker, Kubernetes, and CI/CD.\n\n- Conduct architecture reviews and establish coding, testing, security, and deployment best practices.\n\n- Translate business requirements into technical solutions, architecture diagrams, and implementation plans.\n\n- Manage client and stakeholder discussions, technical decisions, project risks, and delivery challenges.\n\nRequirements:\n\n- 8+ years of experience in Software Engineering or Data Engineering, with significant technical leadership exposure.\n\n- Strong hands-on experience with Microsoft Azure and Azure Databricks.\n\n- Expertise in Data Engineering, ETL/ELT, SQL, Spark/PySpark, and Data Modelling.\n\n- Excellent Python programming skills and experience building REST APIs, microservices, and backend applications.\n\n- Understanding of frontend development and application architecture using React, Angular, JavaScript, TypeScript, or similar technologies.\n\n- Knowledge of Docker, Kubernetes, CI/CD pipelines, Git, DevOps, cloud deployment, monitoring, and production support.\n\n- Strong understanding of cloud-native architecture, distributed systems, and scalable applications.\n\n- Excellent communication, stakeholder management, and team leadership skills.\n\n- Azure certifications, Terraform/IaC, Azure DevOps/GitHub Actions, event-driven architectures, and API gateways will be an advantage.\n\nWhat's in it for you?\n\n- Opportunity to work on complex cloud architecture and data engineering projects.\n\n- Exposure to Azure, Databricks, modern application architecture, and AI-powered solutions.\n\n- Opportunity to lead cross-functional teams and take ownership of end-to-end technical delivery.\n\n- Collaborate with enterprise clients and contribute to scalable, innovative technology solutions.\n\nContact: \n\nSkills\nData Engineering, Azure, Azure Databricks, Python, Solution Architect, Spark, ETL, Data Modeling, 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