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Job_Description":" Data Architect Location: Bangalore Job Type: Full Time Experience Level: Mid-Senior About the Role We are looking for an experiencedData Architect to design and implement scalable, high-performance dataarchitectures. You will be responsible for defining data models, optimizingdata flows, and ensuring data governance across the organization. This rolerequires a deep understanding of database design, cloud data platforms, and bigdata technologies to support analytics and business intelligence. Key Responsibilities Designand implement scalable data architectures that meet business and technicalrequirements. Developdata models, schemas, and metadata management strategies for structured andunstructured data. Defineand enforce data governance, security, and compliance best practices. Workclosely with data engineers, data scientists, and business teams to ensureefficient data pipelines and workflows. Optimizedata storage and retrieval strategies for performance and cost-effectiveness. Architectcloud-based and on-premise data solutions (AWS, Azure, Google Cloud, etc.). Implementdata integration and ETL/ELT processes using modern data platforms. Evaluateand recommend data management technologies, tools, and frameworks. Ensuredata quality and integrity through robust data validation, monitoring, anderror-handling mechanisms. Supportadvanced analytics, AI/ML workloads, and real-time data processing initiatives. Requirements Required Skills & Qualifications Bachelor\u2019s / Master\u2019sdegree in Computer Science, Data Science, or a related field. Extensiveexperience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB,Cassandra, etc.). Expertisein data modeling, data warehousing, and data lake architectures. Strongknowledge of big data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift,BigQuery, etc.). Experiencewith ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.). Hands-onexperience with cloud data platforms (AWS, Azure, GCP) and their data services. Proficiencyin SQL, Python, or Scala for data processing and scripting. Understandingof data security, privacy, and regulatory requirements (GDPR, HIPAA, CCPA,etc.). Stronganalytical, problem-solving, and leadership skills. Awareof Data Governance Preferred Qualifications Certificationsin cloud data services (AWS Certified Data Analytics, Google Professional DataEngineer, etc.). Experiencewith real-time data processing and streaming (Kafka, Flink, Spark Streaming). Familiaritywith machine learning and AI-driven data architectures. Knowledgeof CI/CD and DevOps for data workflows. Benefits - Workwith cutting-edge technologies and a talented team. - Competitive salary and benefitspackage. - Flexible work environment withgrowth opportunities. - Access to professional developmentand learning resources. ","
