Data Architect For Reputed US MNC

If meeting the ciriteria and join on short notice, Please share your CV to [email removed]/ [phone removed]

Here we go...

Position: Data Architect

Experience: 10+ Years

Location: Hyderabad, India( Work from office)

Employment Type: Full-Time

Timings: 04:30PM- 12:30AM

• Analyze the current enterprise data landscape, including data sources, data stores, data flows, integrations, and consumption patterns.
• Conduct current-state data architecture assessments and identify architectural gaps, redundancies, inefficiencies, and scalability concerns.
• Assess data quality across critical data domains and identify issues related to completeness, accuracy, consistency, validity, uniqueness, and timeliness.
• Identify gaps in existing data models, data structures, data flows, integration patterns, and governance processes.
• Review existing data integrations and recommend modifications or modernization opportunities.
• Recommend appropriate data architecture, integration, storage, and processing patterns based on business and technical requirements.
• Define target-state architecture and provide recommendations for transitioning from the current state to the proposed architecture.
• Evaluate opportunities for data consolidation, standardization, transformation, and modernization.
• Identify root causes of data quality issues and recommend remediation strategies.
• Define data remediation activities, dependencies, priorities, and sequencing.
• Estimate and scope the effort, resources, timelines, and technical dependencies required for remediation initiatives.
• Develop high-level implementation roadmaps and support prioritization of architecture and remediation initiatives.
• Work with Data Engineers, Business Analysts, Application Architects, Developers, QA teams, and business stakeholders to validate proposed solutions.
• Define and maintain data architecture standards, principles, patterns, and best practices.
• Create architecture documentation, including current-state and target-state diagrams, data flow diagrams, conceptual/logical data models, and integration architecture.
• Support the evaluation and selection of appropriate data technologies and platforms.
• Identify opportunities to improve data accessibility, reliability, scalability, security, and performance.
• Ensure proposed solutions align with enterprise architecture, security, compliance, and data governance standards.
• Provide technical guidance during implementation and validate that solutions align with the approved target architecture.

Required Skills & Experience

• 10+ years of experience in data architecture, data engineering, data integration, or related data-focused roles.
• Strong experience in enterprise data architecture and data modeling.
• Experience analyzing complex current-state data landscapes and defining target-state architectures.
• Strong understanding of data quality assessment and remediation.
• Experience with data profiling, data lineage, metadata, data governance, and master/reference data concepts.
• Strong knowledge of ETL/ELT and data integration patterns.
• Experience with APIs, batch integrations, event-driven integrations, and real-time data integration.
• Strong understanding of relational and non-relational databases.
• Experience with cloud data platforms such as Azure, AWS, or GCP.
• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Synapse, or equivalent technologies.
• Strong SQL and data analysis capabilities.
• Experience creating conceptual, logical, and physical data models.
• Ability to create and communicate data flow, integration, and architecture diagrams.
• Experience estimating technical effort and defining remediation roadmaps.
• Strong analytical, problem-solving, and stakeholder-management skills.

Preferred Skills: 

• Experience with Data Governance, Data Catalog, Data Lineage, and Data Quality platforms.
• Knowledge of tools such as Microsoft Purview, Collibra, Informatica, Alation, or equivalent platforms.
• Experience with data migration and modernization initiatives.
• Knowledge of Data Lake, Data Warehouse, Lakehouse, and Data Mesh concepts.
• Experience with data security, privacy, access control, and compliance requirements.
• Experience working in Agile delivery environments.
• Relevant cloud or data architecture certifications are a plus.