
Data Visionary
20 hours ago
We are seeking a visionary Big Data Architect to spearhead the design and implementation of cutting-edge big data solutions. The ideal candidate will possess in-depth expertise in big data technologies, data modeling, and cloud-based data services.
- Data Architecture Design: Develop scalable and fault-tolerant data architecture for batch and streaming systems.
- Data Modeling: Craft 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.
The selected candidate will work closely 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.
Requirements- 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 environments.
This role offers opportunities for professional growth, collaboration, and innovation. If you are a motivated and detail-oriented individual with a passion for big data, we encourage you to apply.
Skills and Qualifications- 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.).
About this role: We seek a skilled professional who can lead our big data initiatives and drive results.
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