Data Architect

Job Description Modern data architecture across ingestion, lakehouse/warehouse, semantic/analytics layer, AI/ML integration, and GenAI workloads. Cloud-native data platforms such as Azure Synapse / Fabric, Databricks, Snowflake, BigQuery, Redshift or equivalent. Lakehouse and medallion patterns, Delta Lake, data warehousing, data marts, and enterprise analytical modeling. ETL/ELT and orchestration tools such as Azure Data Factory, Airflow, dbt, AWS Glue, Informatica or equivalent. Data modeling across conceptual, logical, and physical models, metadata, lineage, master/reference data, and data quality principles. Data governance, privacy, security, compliance, cataloging, and stewardship tools such as Microsoft Purview or Collibra concepts. Streaming and integration patterns using Kafka, Event Hubs, APIs, and batch/near-real-time data pipelines. Working knowledge of AI/ML, GenAI, RAG, vector databases, and how data platform design enables AI workloads. Lead technical discovery workshops with business, data, analytics, and IT stakeholders to understand target outcomes and constraints. Translate business objectives into target-state data architectures, value-driven solution blueprints, and phased transition roadmaps. Design end-to-end modern data platforms including ingestion, lakehouse/warehouse, analytics, AI/ML, and GenAI enablement layers. Define reference architectures, integration patterns, data models, data quality controls, governance mechanisms, and security architecture. Assess legacy data environments and recommend modernization approaches that balance scalability, cost, performance, and delivery practicality. Support proposals, RFIs/RFPs, PoCs, architecture diagrams, cost modeling, sizing, and solution defense sessions. Partner with cloud, AI, cybersecurity, application, and delivery teams to ensure architectures are secure, scalable, compliant, and delivery-ready. Mentor data engineers and junior architects on architecture patterns, engineering standards, and reusable assets. Must Have Technical/Functional Skills Modern data architecture across ingestion, lakehouse/warehouse, semantic/analytics layer, AI/ML integration, and GenAI workloads. Cloud-native data platforms such as Azure Synapse / Fabric, Databricks, Snowflake, BigQuery, Redshift or equivalent. Lakehouse and medallion patterns, Delta Lake, data warehousing, data marts, and enterprise analytical modeling. ETL/ELT and orchestration tools such as Azure Data Factory, Airflow, dbt, AWS Glue, Informatica or equivalent. Data modeling across conceptual, logical, and physical models, metadata, lineage, master/reference data, and data quality principles. Data governance, privacy, security, compliance, cataloging, and stewardship tools such as Microsoft Purview or Collibra concepts. Streaming and integration patterns using Kafka, Event Hubs, APIs, and batch/near-real-time data pipelines. Working knowledge of AI/ML, GenAI, RAG, vector databases, and how data platform design enables AI workloads. Roles & Responsibilities Lead technical discovery workshops with business, data, analytics, and IT stakeholders to understand target outcomes and constraints. Translate business objectives into target-state data architectures, value-driven solution blueprints, and phased transition roadmaps. Design end-to-end modern data platforms including ingestion, lakehouse/warehouse, analytics, AI/ML, and GenAI enablement layers. Define reference architectures, integration patterns, data models, data quality controls, governance mechanisms, and security architecture. Assess legacy data environments and recommend modernization approaches that balance scalability, cost, performance, and delivery practicality. Support proposals, RFIs/RFPs, PoCs, architecture diagrams, cost modeling, sizing, and solution defense sessions. Partner with cloud, AI, cybersecurity, application, and delivery teams to ensure architectures are secure, scalable, compliant, and delivery-ready. Mentor data engineers and junior architects on architecture patterns, engineering standards, and reusable assets. Generic Managerial Skills, If any Strong client-facing communication and executive presentation skills. Ability to facilitate workshops and align business, IT, enterprise architecture, security, and delivery stakeholders. Technical leadership, mentoring, estimation support, solution governance, risk management, and proposal support. Ability to balance innovation, implementation feasibility, cost, and commercial viability. Salary Range: $160,000 -$220,000 year TCS Employee Benefits Summary Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Qualifications: BACHELOR OF COMPUTER SCIENCE #J-18808-Ljbffr