Data Architect

1 day ago

New Delhi, India Landmark Group Full time

We are seeking a highly skilledData Architectto design, optimize, and manage our enterprise data architecture. The role involves defining how data is collected, stored, accessed, and leveraged across the organization, ensuring scalability, security, and performance. You will collaborate with stakeholders, engineers, and analysts to establish robust data models and frameworks that drive business intelligence and advanced analytics.Key Responsibilities Design, implement, and maintain theoverall data architecture(data models, standards, and guidelines). Develop and optimizedata pipelines, ETL/ELT processes , and integration frameworks for structured and unstructured data. Define and enforcedata governance, security, and compliancepolicies (GDPR, HIPAA, etc. as applicable). Collaborate with data engineers, BI developers, and analysts to ensure data availability and usability. Evaluate and recommenddata storage solutions(data lakes, data warehouses, cloud platforms). Definemetadata management, master data management (MDM), and data lineagestrategies. Establish performance tuning and cost optimization practices for large-scale data environments. Provide technical leadership incloud data platforms(AWS, Azure, GCP) and emerging technologies. Translatebusiness requirements into scalable data solutionsthat support analytics, AI/ML, and reporting.Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. Proven experience (9+ years) as aData Architect, Data Engineer, or Database Architect . Strong knowledge ofdata modeling (conceptual, logical, physical)and database design. Expertise inSQL/NoSQL databases(e.g., Oracle, MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience withdata integration tools(Informatica, Talend, Apache Nifi, dbt). Proficiency withcloud data platforms(AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake). Familiarity withbig data frameworks(Hadoop, Spark, Kafka) andreal-time streaming data . Strong understanding ofdata security, compliance, and governance frameworks . Excellent communication and stakeholder management skills.Preferred Qualifications Experience withcontainerization & orchestration(Docker, Kubernetes). Knowledge ofAI/ML pipelinesand data science workflows. Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate). Experience in designingdata mesh / data fabric architectures .

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