{"id":1252733,"url":"https://alion.io/job/algoleap-technologies-data-architect","title":"Data Architect","company":{"id":3800168,"name":"Algoleap","domain":"algoleap.com","url":"https://alion.io/company/algoleap-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Master Data Management","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Dimensional Modeling","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-14T07:09:45Z","employer_posted_date":null,"last_verified_at":"2026-09-14T07:09:45Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"Role purpose :\n\nThe Data Architect will define scalable, secure and governed data solutions while remaining actively involved in development and delivery. The role combines enterprise architecture leadership with hands-on engineering across data integration, cloud platforms, databases, data quality and AI-ready data foundations. The successful candidate will translate business needs into practical designs, reusable patterns and production-quality solutions, working closely with product, engineering, analytics, security and DevOps teams.\n\nWhat You Will Do :\n\nArchitecture, design and technical leadership :\n\n- Define and evolve data architecture roadmaps, reference architectures, standards and reusable design patterns aligned with business priorities.\n\n- Design conceptual, logical and physical data models, including dimensional, relational, document and analytics-ready models.\n\n- Architect Data Warehouse, Data Lake and Lakehouse solutions, including ingestion, storage, processing, semantic and consumption layers.\n\n- Lead solution reviews and technical decisions, balancing scalability, security, resilience, performance, operability and cost.\n\n- Translate business and product requirements into implementable solution designs, delivery increments and technical guardrails.\n\nHands-on engineering and delivery :\n\n- Design, build and optimize batch, micro-batch and real-time ETL/ELT pipelines using SnapLogic, Informatica and cloud-native integration services.\n\n- Develop Python-based ingestion, transformation, validation, automation and reusable data-processing frameworks.\n\n- Write and tune SQL, stored procedures, views and database objects across PostgreSQL, SQL Server, Oracle, Snowflake, BigQuery and Redshift; support document-oriented solutions such as MongoDB where appropriate.\n\n- Build reusable APIs, data services, integration components and proof-of-concepts; contribute production code where the solution requires senior technical ownership.\n\n- Perform code and design reviews, troubleshoot complex data and performance issues, support releases, and lead root-cause analysis for production incidents.\n\nCloud, platform and engineering practices :\n\n- Design cloud and hybrid data solutions across Azure, AWS and GCP, including secure storage, compute, networking and platform integration patterns.\n\n- Guide legacy modernization and data migration, including assessment, mapping, reconciliation, validation, rollback and recovery considerations.\n\n- Implement CI/CD, automated testing, deployment, monitoring and infrastructure automation using DataOps and DevSecOps practices.\n\n- Define observability, alerting and performance-tuning approaches across databases, pipelines, warehouses and cloud services.\n\n- Optimize query execution, indexing, partitioning, workload management, storage lifecycle and cloud consumption.\n\nData governance, quality and security :\n\n- Embed data ownership, stewardship, metadata, cataloging, lineage, classification, retention and Master Data Management practices into solution designs.\n\n- Implement data quality rules, profiling, validation, reconciliation, exception handling, dashboards and alerts using Collibra, SODA, Python and SQL.\n\n- Design security controls including role-based access, encryption, data masking, row and column-level controls, and secure handling of sensitive data.\n\n- Ensure solutions comply with applicable CBRE policies, architecture standards and regulatory requirements in partnership with security and governance teams.\n\nAnalytics, AI and intelligent data solutions : \n\n- Design analytics-ready data marts, semantic models and reporting layers for Power BI, Tableau and self-service analytics.\n\n- Create trusted, AI-ready data foundations for model training, inference and advanced analytics, including reusable datasets and feature-engineering pipelines.\n\n- Design Retrieval-Augmented Generation, vector search, document ingestion, embedding, indexing and enterprise knowledge-retrieval patterns where required.\n\n- Support secure integration of enterprise data with cloud AI services, copilots and intelligent assistants while applying Responsible AI, privacy, security and governance controls.\n\n- Partner with Data Scientists and ML Engineers on MLOps patterns for model deployment, monitoring, drift detection and operational reliability.\n\nCollaboration and delivery accountability :\n\n- Work across product, business, engineering, analytics, security and operations teams throughout the solution lifecycle.\n\n- Mentor engineers and developers, improve engineering practices, and communicate complex architecture decisions to technical and non-technical stakeholders.\n\n- Evaluate emerging technologies through focused proof-of-concepts and recommend adoption only where measurable business or engineering value is demonstrated.\n\nRequired Experience And Capabilities :\n\n- Bachelor's degree in computer science, Engineering, Information Systems or a related discipline, or equivalent practical experience.\n\n- 8+ years of overall experience in Data engineering and enterprise platforms.\n\n- 3+ years of experience in Analytics, AI and intelligent data solutions.\n\n- Significant experience designing enterprise data platforms and delivering data engineering solutions in complex, multi-team environments.\n\n- Demonstrated hands-on development experience with Python and advanced SQL, including performance optimization and production support.\n\n- Practical experience with data integration, data modeling, Data Warehouse, Data Lake and Lakehouse architecture.\n\n- Experience with at least one major cloud platform and modern cloud data services; ability to apply architecture principles across Azure, AWS or GCP.\n\n- Working knowledge of data governance, quality, metadata, lineage, security and compliance controls.\n\n- Experience with CI/CD, automated testing, monitoring, source control and modern engineering delivery practices.\n\n- Strong analytical, problem-solving and communication skills, with the ability to influence technical decisions and work effectively across functions.\n\nPreferred Experience :\n\n- Hands-on experience with SnapLogic or Informatica, and platforms such as Snowflake, BigQuery, Redshift, PostgreSQL, SQL Server, Oracle or MongoDB.\n\n- Experience with Collibra, SODA, Power BI, Tableau, infrastructure automation, DataOps or DevSecOps.\n\n- Exposure to AI/ML data platforms, RAG, vector databases, semantic search, MLOps or enterprise copilots.\n\n- Relevant cloud, data architecture, database or data engineering certifications.\n\nCore Skills :\n\n- Capability : Relevant Knowledge And Experience.\n\n- Architecture : Enterprise data architecture; solution design; data modeling; Data Warehouse; Data Lake; Lakehouse; Medallion patterns.\n\n- Engineering : Python; SQL; ETL/ELT; APIs; automation; testing; code review; troubleshooting; performance tuning.\n\n- Platforms : Azure, AWS or GCP; Snowflake; BigQuery; Redshift; Relational and document databases.\n\n- Governance : Data quality; metadata; lineage; cataloging; classification; MDM; privacy; security.\n\n- Delivery : CI/CD; DataOps; DevSecOps; observability; migration; stakeholder management; technical mentoring.\n\n- AI readiness : AI/ML data foundations; RAG; vector search; MLOps; Responsible AI controls.\nSkills\nData Architect, Data Engineering, Data Integration, Data Warehousing, Dimensional Modeling, ETL, Python, AWS, Informatica, Snowflake DB","description_format":"text","description_chars":7397,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.827,"p_room":0.9,"age_days":21,"expected_fill_days":37,"reasons":["seen:21","velocity","win:mid"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/algoleap-technologies-data-architect","json_url":"https://alion.io/job/algoleap-technologies-data-architect.json","meta":{"generated_at":"2026-10-06T23:20:17Z","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","counted_by":"address","units_charged":1,"used_today":4597,"day_limit":5000,"remaining_today":403,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":3800168},"rest":"https://alion.io/mcp/rest/get_company?id=3800168"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falgoleap-technologies-data-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%2Falgoleap-technologies-data-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%2Falgoleap-technologies-data-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/algoleap-technologies-data-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falgoleap-technologies-data-architect"}]}