Your Role and Impact
**Job Title: Data Architect****Location:**
- Noida, Uttar Pradesh, India
- Pune, Maharashtra, India
- Job Type:** Full-time
- Experience Required:** 10 - 15 years
About Us
[Company Name] is a leading organization in [industry or sector], dedicated to delivering innovative solutions and leveraging data to drive business success. We are seeking a seasoned Data Architect to join our dynamic team and help us to design, manage, and optimize our data architecture and analytics systems.
Key Responsibilities
- Design and implement data architecture strategies to enhance the data management capabilities of the organization.
- Develop and optimize data warehousing solutions that support advanced analytics and reporting requirements.
- Collaborate with stakeholders to define data modeling standards and best practices.
- Lead ETL development processes to ensure seamless integration and transformation of data across various systems.
- Evaluate and implement Snowflake solutions for data storage, retrieval, and processing needs.
- Work closely with data engineers and other team members to deliver high-quality data solutions that meet business objectives.
- Ensure data governance and security principles are adhered to throughout all data management processes.
- Stay updated with the latest industry trends and technologies to continuously improve data architecture practices.
Desired Skills And Qualifications
- Proven experience in data architecture, with a focus on data warehousing, data modeling, and data engineering.
- Strong expertise in ETL development with hands-on experience in various ETL tools.
- Proficient in database architecture and design, particularly with Snowflake.
- Ability to articulate complex data concepts in a way that is accessible to non-technical stakeholders.
- Excellent problem-solving skills and a strategic mindset for approaching data management challenges.
- Strong communication and teamwork skills to collaborate effectively with cross-functional teams.
- A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Why Join Us?**
- Work in a collaborative and innovative environment with access to cutting-edge technologies.
- Opportunity to make a significant impact on the organization’s data strategy.
- Competitive salary and benefits package.
- Professional development and continuous learning opportunities.
If you are passionate about data and possess the experience and skills outlined above, we would love to hear from you. Apply today and become a part of our visionary team at [Company Name].
Your Contribution
- Job Title**: Data Architect
- Location**: Noida, Uttar Pradesh, India / Pune, Maharashtra, India
- Experience**: 10 to 15 years
### Roles and Responsibilities:
- **Data Architecture Development**:
- Design and implement data architecture solutions that support the organization’s strategy and goals.
- Establish best practices for data management and governance across various data systems.
- Define and maintain data modeling standards and frameworks to enhance data consistency and integrity.
- **Data Warehousing**:
- Oversee the design and development of data warehouses and data lakes to facilitate efficient data storage, retrieval, and analytics.
- Implement strategies for data integration, transformation, and loading (ETL) processes in line with business requirements.
- **Data Modeling**:
- Develop and maintain logical and physical data models to support the organization's objectives and data analytics needs.
- Conduct data modeling workshops with stakeholders to align business requirements with technical solutions.
- **ETL Development**:
- Lead the design and implementation of ETL workflows and processes for data migration, cleansing, and integration using industry-standard tools and technologies.
- Optimize ETL processes for efficiency, scalability, and performance in handling large datasets.
- **Collaboration with Cross-Functional Teams**:
- Work closely with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions that meet organizational needs.
- Facilitate communication between IT and business units to ensure alignment in data initiatives.
- **Technology Evaluation and Implementation**:
- Evaluate and recommend appropriate data management technologies, with a focus on Snowflake and other cloud-based solutions.
- Engage in the continuous improvement of data architecture practices to leverage innovations in data technology.
- **Leadership and Mentoring**:
- Provide leadership and guidance to data engineering and analytics teams to foster skill development and ensure high-quality project delivery.
- Mentor junior data professionals, providing support in their career growth and knowledge enhancement.
- **Performance Monitoring and Optimization**:
- Monitor the performance of data architecture and ETL processes, identifying areas for improvement and implementing necessary changes.
- Establish metrics and KPIs to measure the effectiveness of data solutions and ensure they align with business performance goals.
- **Documentation and Compliance**:
- Maintain comprehensive documentation of data architecture designs, processes, and standards to ensure compliance and facilitate future enhancements.
- Ensure that data architecture and ETL practices adhere to regulatory requirements and industry standards.
### Desired Skills:
- Extensive knowledge of data warehousing concepts, data modeling techniques, and data engineering methodologies.
- Expertise in ETL development and tools, with a strong understanding of data integration techniques.
- Proficient in Snowflake and other cloud data solutions.
- Proven experience as a Database Architect with a solid foundation in both relational and non-relational database management systems.
This role is crucial for shaping the data landscape of the organization and ensuring that data systems are robust, scalable, and aligned with business objectives. The ideal candidate will have a strong technical background as well as excellent interpersonal skills to communicate effectively with both technical and non-technical stakeholders.
