Data Architect

Data Architect Location: Bangalore Job Type: Full Time Experience Level: Mid-Senior About the Role We are looking for an experienced Data Architect to design and implement scalable, high-performance data architectures. You will be responsible for defining data models, optimizing data flows, and ensuring data governance across the organization. This role requires a deep understanding of database design, cloud data platforms, and big data technologies to support analytics and business intelligence. Key Responsibilities · Design and implement scalable data architectures that meet business and technical requirements. · Develop data models, schemas, and metadata management strategies for structured and unstructured data. · Define and enforce data governance, security, and compliance best practices. · Work closely with data engineers, data scientists, and business teams to ensure efficient data pipelines and workflows. · Optimize data storage and retrieval strategies for performance and cost-effectiveness. · Architect cloud-based and on-premise data solutions (AWS, Azure, Google Cloud, etc.). · Implement data integration and ETL/ELT processes using modern data platforms. · Evaluate and recommend data management technologies, tools, and frameworks. · Ensure data quality and integrity through robust data validation, monitoring, and error-handling mechanisms. · Support advanced analytics, AI/ML workloads, and real-time data processing initiatives. Requirements Required Skills & Qualifications · Bachelor’s/Master’s degree in Computer Science, Data Science, or a related field. · Extensive experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.). · Expertise in data modeling, data warehousing, and data lake architectures. · Strong knowledge of big data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift, BigQuery, etc.). · Experience with ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.). · Hands-on experience with cloud data platforms (AWS, Azure, GCP) and their data services. · Proficiency in SQL, Python, or Scala for data processing and scripting. · Understanding of data security, privacy, and regulatory requirements (GDPR, HIPAA, CCPA, etc.). · Strong analytical, problem-solving, and leadership skills. · Aware of Data Governance Preferred Qualifications · Certifications in cloud data services (AWS Certified Data Analytics, Google Professional Data Engineer, etc.). · Experience with real-time data processing and streaming (Kafka, Flink, Spark Streaming). · Familiarity with machine learning and AI-driven data architectures. · Knowledge of CI/CD and DevOps for data workflows. Benefits • Work with cutting-edge technologies and a talented team. • Competitive salary and benefits package. • Flexible work environment with growth opportunities. • Access to professional development and learning resources.