Senior Big Data Architect

3 weeks ago

Pune, India LIFTU TECHNOLOGY PRIVATE LIMITED Full time

Job Summary :We are seeking an experienced Big Data Architect to lead the design and implementation of scalable, secure, and high-performing big data solutions. The ideal candidate will possess a deep understanding of big data technologies, data modeling, and cloud-based data services. You will collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to transform business requirements into effective technical solutions. This is a hands-on, leadership role that includes architecture design, technology evaluation, mentorship, and client-facing responsibilities during pre- and post-sales & Responsibilities : Responsibilities : - Data Architecture Design : Design and implement scalable and fault-tolerant data architecture for batch and streaming systems.- Data Modeling : Develop efficient data models and database structures to support analytics and business processes.- Data Integration : Integrate data from various structured and unstructured sources, including legacy systems.- Performance Optimization : Monitor and fine-tune data infrastructure for optimal performance.- Data Security & Governance : Ensure data security, compliance, and governance across platforms.- Collaboration : Work closely with data scientists, engineers, and business teams to gather requirements and deliver solutions.- Technology Evaluation : Research, evaluate, and recommend emerging data technologies and tools.- Mentorship : Mentor junior team members and promote best practices in data engineering and architecture.- Problem Solving : Diagnose complex data challenges and provide robust solutions.- Pre/Post Sales Support : Engage in client interactions to support technical sales, solutioning, and Required : - Total Experience : 10 - 12 years in IT, with at least 2+ years as a Big Data Architect.- Big Data Technologies : Hands-on experience with Hadoop, Spark, Hive, HBase, Kafka, etc.- Programming : Proficient in Python, Java, Scala, and Spark.- Cloud Platforms : Experience with AWS, Azure, or GCP-based data services (e.g., EMR, Databricks, BigQuery).- Database Expertise : Strong knowledge of SQL and NoSQL databases (MongoDB, Cassandra, etc.).- ETL Pipelines : Proven experience designing and implementing scalable ETL workflows.- Security & Authentication : Understanding of LDAP, Kerberos, Active Directory, SAML configuration in distributed Skills : - API Design : Experience in building and integrating APIs for data exchange.- Data Visualization : Familiarity with visualization tools (Tableau, Power BI, or similar).- DevOps & Automation : Experience with CI/CD, containerization (Docker/Kubernetes), and automation tools.- Soft Skills : Strong communication, collaboration, and stakeholder management abilities.- Compliance & Governance : Knowledge of data privacy laws and regulatory requirements (GDPR, HIPAA, etc.). (ref:hirist.tech)

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