Experience: 10+ Years

Location: Hyderabad, India( Work from office)

Employment Type: Full-Time/Contract anything is fine.

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.
- Robust 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.

📌 Data Architect (Hyderabad)
🏢 3shool Technology Consultants
📍 Hyderabad