{"id":2914499,"url":"https://alion.io/job/leewayhertz-senior-data-engineer-remote-india","title":"Senior Data Engineer- Remote, India","company":{"id":171848,"name":"LeewayHertz","domain":"leewayhertz.com","url":"https://alion.io/company/leewayhertz","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":193000,"period":"year","method":"global_role_seniority_cell","sample_n":2491},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ABAP","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-22T23:58:18Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"This is a remote position.\nJob Description\nWe are seeking a Technical Architect with 10+ years of overall technology experience, including proven experience architecting and delivering production Generative AI systems. The ideal candidate will combine deep hands-on command of large language models, retrieval-augmented generation, and agentic architectures with the judgement to design AI solutions that hold up under real enterprise constraints of cost, latency, security, and compliance. This role owns the technical architecture of AI engagements end-to-end: shaping the solution during discovery and pre-sales, defining reference architectures and integration patterns, selecting models and platforms, and guiding delivery teams through implementation. You will work directly with client stakeholders, product managers and engineering leads, and will help set the technical standards of our AI practice. This is a senior, hands-on architecture role rather than a purely advisory one. This role owns multiple concurrent AI engagements from discovery through production. Beyond technical architecture, the Technical Architect is expected to act as a trusted advisor to clients, lead engineering teams, mentor future technical leaders, and drive engineering excellence through hands-on involvement\nRequirements\nJob Description\nWe are looking for a well-rounded Senior Data Engineer to proactively design, build and maintain modern cloud data platforms end to end. The role spans the full data engineering lifecycle - ingestion, transformation, storage, modeling and delivery - with strong hands-on expertise across Azure, Databricks and Snowflake, fully automated CI/CD, and integration of enterprise source systems including SAP. It requires cross-functional collaboration and ensures the highest standards of data quality, reliability and performance.\n\nResponsibilities\nUnderstand the values and vision of the organization\nProtect the Intellectual Property\nAdhere to all the policies and procedures\nDesign, develop, and maintain scalable data pipelines for data ingestion, processing and storage.\nBuild and optimize data architectures and data models (Lakehouse / medallion, dimensional) for efficient data storage and retrieval.\nDevelop ETL/ELT processes to transform and load data from various sources into data warehouses and data lakes.\nBuild and orchestrate pipelines on Azure Databricks using PySpark, Spark SQL and Delta Lake, orchestrated with Databricks Workflows.\nIntegrate data from enterprise source systems including SAP (ABAP/CDS extracts, RPA/CSV or connectors) and load into Snowflake and Databricks.\nOwn end-to-end CI/CD for data pipelines using Databricks Asset Bundles (DAB) and Azure DevOps (Git repositories, YAML build and release pipelines), promoting code across dev, QA and production.\nImplement data quality, validation, freshness and reconciliation checks with pipeline observability.\nEnsure data integrity, quality, and security across all data systems.\nCollaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.\nMonitor and troubleshoot data pipelines and workflows to ensure high availability and performance.\nDocument data processes, architectures, and data flow diagrams.\nEssential Skills Job\n7 - 8 years of hands-on data engineering experience building and running production data pipelines at scale.\nStrong expertise in Azure and Azure data services (ADLS Gen2, Azure Databricks, Azure DevOps).Deep hands-on experience with\nDatabricks: PySpark, Spark SQL, Delta Lake, Lakehouse / medallion architecture and Databricks Workflows.\nCI/CD for data engineering using Databricks Asset Bundles (DAB) and Azure DevOps (Git, YAML build/release pipelines, multi-environment promotion).\n(Must-have)\nStrong Snowflake experience (data modeling, performance tuning, loading and optimization).\nProficiency in SQL and Python.\nExperience integrating data from SAP and other enterprise ERP / source systems into a data lake or warehouse.\nSolid data modeling (dimensional, star/snowflake, Lakehouse) and ETL/ELT design.\nBuilding data-quality, validation, reconciliation and pipeline monitoring / observability.\nPersonal\nExcellent communication and interpersonal skills, with the ability to engage with all levels of employees and management.\nCollaborative approach to effectively present and advocate for quick design solutions.\nStay updated on the latest design trends, tools, and technologies, bringing innovative ideas to enhance the product experience.\nA proactive approach to problem solving, with a focus on delivering exceptional customer satisfaction.\nCertifications\nAt least one current certification is required; multiple is a strong plus:\nDatabricks Certified Data Engineer Associate or Professional. (Required)\nMicrosoft Certified: Azure Data Engineer Associate (DP-203), or Azure Fundamentals (DP-900 / AZ-900).\nSnowPro Core or SnowPro Advanced: Data Engineer (Snowflake).\nPreferred Skills\nJob\nFamiliarity with SAP finance / ERP data domains (Accounts Receivable, invoice-to-pay, bank statements).\nStreaming and event-driven pipelines (Apache Kafka / Azure Event Hubs).\nWorkflow orchestration (Apache Airflow, Databricks Workflows).\nDatabricks Unity Catalog and Delta Live Tables.\nInfrastructure as Code (Terraform) and containerization (Docker).\nData governance, lineage and cost/performance optimization on Databricks and Snowflake.\nExposure to BI / visualization tools (Power BI, Tableau).\nPersonal\nDemonstrate proactive thinking\nStrong communication and collaboration skills.\nShould have strong interpersonal relations, expert business acumen and mentoring skills\nStrong problem-solving skills with attention to detail.\nHave the ability to work under stringent deadlines and demanding client conditions.\nStrong analytical and problem-solving skills.\nAbility to work independently and as part of a team.\nOther Relevant Information \nBachelor's degree in Computer Science, Information Technology, or a related field.\n7 - 8 years of experience in data engineering & architecture, including hands-on Databricks and Azure DevOps CI/CD.\nBenefits\nThis role offers the flexibility of working remotely in India.\nLeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.","description_format":"text","description_chars":6479,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile App Development Services","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-20T10:25:45Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.468,"p_room":0.28,"age_days":72,"expected_fill_days":29,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/leewayhertz-senior-data-engineer-remote-india","json_url":"https://alion.io/job/leewayhertz-senior-data-engineer-remote-india.json","meta":{"generated_at":"2026-10-23T00:55:29Z","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":1533,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":171848},"rest":"https://alion.io/mcp/rest/get_company?id=171848"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleewayhertz-senior-data-engineer-remote-india"},{"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%2Fleewayhertz-senior-data-engineer-remote-india"},{"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%2Fleewayhertz-senior-data-engineer-remote-india"},{"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/leewayhertz-senior-data-engineer-remote-india\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleewayhertz-senior-data-engineer-remote-india"}]}