Big Data Architect

1 week ago

Ahmedabad Gujarat, India Evoort Solutions Full time

**Number of Positions: 2**

**Location: Dubai**

**Job Summary**

The Big Data Architect will be responsible for designing, implementing, and managing large-scale data systems, ensuring they are scalable, secure, and aligned with business objectives. The role involves working with a variety of data technologies, cloud platforms, and legacy systems to create integrated solutions that support advanced analytics, business intelligence, and data governance. This position requires a highly skilled professional with extensive experience in data architecture, cloud technologies, and ensuring compliance with regulatory standards.

**Qualifications**
- **Education**:

- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related discipline (required).
- Master’s degree in a similar field (preferred).
- **Certifications**:

- Relevant certifications such as TOGAF, AWS Certified Solutions Architect, Google Professional Data Engineer, or equivalent (strongly recommended).

**Experience**
- **Minimum Experience**:

- At least 8 years of experience in data architecture, with a proven track record of designing scalable, high-performance data systems for big data environments.
- **Cloud & Legacy Integration**:

- Hands-on experience integrating legacy systems with cloud platforms (e.g., AWS, Google Cloud, Azure, Cloudera, Databricks) and modern big data technologies (e.g., Hadoop, Spark, Kafka).
- **Healthcare Data Management**:

- Knowledge of healthcare data types, data governance, and regulatory compliance (e.g., HIPAA, GDPR).
- **Big Data Technologies**:

- Experience working with large-scale data storage solutions and distributed computing technologies (e.g., NoSQL databases, Hadoop, Spark).

**Skills & Competencies**
- **Big Data Expertise**: Advanced knowledge of big data technologies and architecture, including Hadoop, Spark, Kafka, and NoSQL databases (e.g., Cassandra, MongoDB).
- **Cloud Platforms**: Expertise in working with cloud platforms such as AWS, Google Cloud, and Microsoft Azure, including experience with cloud-based big data services (e.g., AWS Redshift, Google BigQuery).
- **Data Security & Privacy**: Strong understanding of data security practices, including encryption, access control, and compliance with data protection regulations.
- **Leadership & Collaboration**: Strong leadership skills with the ability to collaborate effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.
- **Problem-Solving**: Excellent analytical and problem-solving skills, with the ability to design complex data systems that meet business and technical requirements.
- **Communication**: Strong communication skills, both written and verbal, with the ability to present complex technical concepts to non-technical stakeholders.

Pay: ₹9,721.45 - ₹51,640.14 per month

Schedule:

- Day shift

Work Location: In person

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