{"id":2906957,"url":"https://alion.io/job/mathco-data-architect-pharma","title":"Data Architect - Pharma","company":{"id":455909,"name":"MathCo","domain":"mathco.com","url":"https://alion.io/company/mathco","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"HIPAA","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-29T13:40:37Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Job Description:\nWe are seeking for a Data Architect with over a decade of experience designing scalable data platforms and enterprise data models. This role requires strong knowledge of SQL/NoSQL databases, distributed systems, and cloud ecosystems across AWS, Azure, or GCP. The ideal candidate will build high-volume data pipelines, real-time streaming solutions, and robust ETL/ELT frameworks. Proficiency with tools like Spark, Databricks, Snowflake, and major integration platforms is essential. You will design secure, compliant data architectures aligned with GDPR, HIPAA, or CCPA. Additionally, you will drive data governance practices including cataloguing, lineage, and access control.\nKey Responsibilities:\nHas strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.\n10+ years of experience in data architecture, data engineering, or related roles.\n5+ years of experience in building scalable enterprise data warehousing and modelling on prem and/or cloud AWS\nExpertise in data structures, distributed computing, manipulating and analyzing complex high-volume data from variety of internal and external sources.\nExpertise in cloud platforms such as Azure, AWS, or Google Cloud and their data services (e.g., Azure Data Lake, AWS S3, BigQuery).\nHands-on experience with data integration tools (e.g., Azure Data Factory, Talend, Informatica).\nExperience in developing ETL designs and data models for structured/ unstructured and streaming data sources\nExperience with real-time data streaming technologies like Kafka, Kinesis, or Event Hub.\nProficiency with big data tools and frameworks like Apache Spark, Databricks, Snowflake or Hadoop.\nExperience with SQL and NoSQL databases (e.g., SQL Server, Snowflake, Cosmos DB, DynamoDB).\nApply understanding of pharma-specific data domains - including clinical trial data, real-world evidence (RWE), commercial/sales data, regulatory submissions, and supply chain - to design architectures that reflect the structure and sensitivity of that data\nEnsure data solutions are designed with pharma-grade compliance in mind, including GxP, 21 CFR Part 11, and HIPAA, going beyond checkbox compliance to embed these requirements into architecture decisions from the ground up\nSolid knowledge of scripting and programming languages such as Python, Spark, Java, or Scala.\nDesign secure data solutions with deep knowledge of pharma-relevant compliance standards - GDPR, HIPAA, 21 CFR Part 11, GxP - including audit trail design, data integrity controls, and validated system requirements\nImplement and enforce data governance frameworks, including data cataloguing, lineage, and access controls.\nRequired Skills and Experience:\nExperience in understanding and translating data, analytic requirements and functional needs into technical requirements while working with global customers.\nExperience working with pharma data across at least two functional areas (e.g., Clinical, Commercial, Regulatory, R&D, Medical Affairs, Supply Chain) - understanding the data models, source systems, and business context of each.\nFamiliarity with pharma-specific data sources and platforms such as IQVIA, Symphony Health, Veeva, clinical EDC systems (Medidata, Oracle Clinical), or regulatory submission data.\nExperience architecting solutions for sensitive pharma data categories - patient-level data, adverse event reporting, clinical trial results - with appropriate anonymization, access controls, and lineage tracking\nPharma consulting or client-facing experience is a strong differentiator; ability to translate regulatory and domain constraints into actionable architectural patterns.\nDesign cloud-native data architectures that support scalable, real-time, and batch processing.\nBuild and maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards.\nDefine strategies for data modelling, data integration, and metadata management.\nStrong experience in database, data warehouse, data lake design & architecture.\nLeverage cloud platforms (AWS, Azure, GCP, etc.) for data storage, compute, and analytics services such as Azure Synapse, AWS Redshift, or Google BigQuery.\nExperience in Database programming using multiple flavour of SQL.\nImplement data governance frameworks, including data quality, lineage, and cataloguing.\nCollaborate with cross-functional teams, including business analysts, data engineers, and DevOps teams.\nExperience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight/Databricks/SnowPark)\nEvaluate emerging cloud technologies and recommend improvements to data architecture.\nExperience in any orchestration tool such as Airflow/Oozie for scheduling pipelines\nHands-on experience in using Spark Streaming, Kafka, Databricks, Snowflake, etc.\nExperience working in an Agile/Scrum development process.\nExperience to optimize data systems for cost efficiency, performance, and scalability.\nBeing a Mathemagician:\nEmbody MathCo’s culture and way of working. \nDemonstrate ownership and strive for excellence in delivering results. \nActively engage and contribute to initiatives fostering company growth. \nSupport diversity and appreciate different perspectives. \nRecognitions:\nPositioned as a Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 by AIMResearch. \nRecognized among Inspiring Workplaces in North America, 2023. oAccredited for Inclusive Practices by Great Place to Work Institute, India. \nRecognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Great Place To Work® India.","description_format":"text","description_chars":5702,"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":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-20T08:15:39Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.834,"p_room":0.9,"age_days":21,"expected_fill_days":31,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/mathco-data-architect-pharma","json_url":"https://alion.io/job/mathco-data-architect-pharma.json","meta":{"generated_at":"2026-10-29T17:48:28Z","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":26557,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":455909},"rest":"https://alion.io/mcp/rest/get_company?id=455909"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmathco-data-architect-pharma"},{"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%2Fmathco-data-architect-pharma"},{"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%2Fmathco-data-architect-pharma"},{"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/mathco-data-architect-pharma\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmathco-data-architect-pharma"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2906957}},{"tool":"search_jobs","arguments":{"company":"mathco.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2906957},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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