Data Architect
- Infojini, Inc.
19 Hours Ago
NA
C2C
Remote
7-10 Years
Required Skills: SQL, NoSQL, cloud data technologies, Azure, AWS, GCP
Job Description
Position Summary
The Data Architect will lead the design, governance, and quality of data structures supporting the client modernization program. The role will develop enterprise data models, define data flows and lineage, establish metadata and data standards, support API-based data services, evaluate cloud and hybrid data platforms, and provide architectural guidance for data migration and integration initiatives.
Required Qualifications
- Bachelor's degree including the specified computer science coursework.
- 7+ years of experience in IT analysis, data analysis, system maintenance, troubleshooting, or enterprise-level data environments.
- 5+ years of hands-on data-focused leadership in architecture, migration, and/or governance.
Strong experience with:
- Enterprise data architecture
- Data modeling
- Data flows
- Data governance
- Metadata
- Data lineage
- Data quality
- Data integration
- Data migration/conversion
- Experience with API-based data services.
- Experience with SQL, NoSQL, and cloud data technologies.
- Experience with Azure, AWS, or GCP.
- Experience with large-scale data migration including:
- Data profiling
- Mapping
- Cleansing
- Transformation
- Validation
- Reconciliation
- Conversion readiness
- Experience with ETL/ELT, APIs, messaging, event-driven pipelines, or SOA.
- Understanding of data security, privacy, regulatory requirements, Zero Trust, encryption, and access controls.
- Experience with data lifecycle management.
Key Responsibilities
- Develop and maintain client's data models and logical schemas.
- Define data flows, lineage, and transformation rules.
- Establish metadata and data standards.
- Define data-quality rules and governance practices.
- Ensure data supports reporting, analytics, audit, metrics, and operational requirements.
- Design API-based data services and secure data-sharing patterns.
- Evaluate data storage, ingestion, transformation, and management practices.
- Support data migration and conversion planning.
- Ensure migration activities include validation, reconciliation, and data integrity.
- Collaborate with Enterprise Architecture, Integration, Security, Application, and vendor teams.
- Maintain data dictionaries, lineage diagrams, mappings, and other architecture documentation.
- Ensure data architecture aligns with security, privacy, statewide policies, and client requirements.
- Participate in Agile ceremonies, design reviews, and technical discussions.
Certification required:
- CDMP, Azure Data Engineer, Snowflake, Google Data Architect.
