Sr. Data Architect-Contract
1 week ago
Role: Sr. Data Architect-Contract
Experience: 14-20 years
Shift: Regular IST shift
Type: Contract
Duration: 6 months
Location: Mumbai-Hybrid(2 Days Work from Office in a week)
Job Description:
We are seeking an accomplished Senior Data Architect to join our team and lead our data architecture efforts. As a Senior Data Architect, you will be responsible for designing and implementing sophisticated data solutions that align with our business objectives and support advanced data analytics and insights.
Responsibilities:
- Lead the development of the overall data architecture strategy and vision, collaborating with business stakeholders and technology teams.
- Design and implement complex data models, data pipelines, and ETL processes to support data integration, transformation, and storage.
- Define data governance and security policies to ensure data accuracy, privacy, and compliance with regulatory standards.
- Evaluate and select appropriate technologies, tools, and platforms for data storage, processing, and analytics.
- Provide technical guidance and mentorship to data engineers and other team members, promoting best practices and continuous learning.
- Oversee the management and optimization of data warehouses, data lakes, and other data storage solutions.
- Collaborate with data scientists, analysts, and business users to understand data requirements and deliver valuable insights.
- Drive data architecture initiatives and projects, ensuring successful implementation within scope, timeline, and budget.
- Stay current with industry trends, emerging technologies, and best practices in data architecture and management.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Data Architect, including a strong track record of designing and implementing data solutions in complex environments.
- Expertise in data modeling, database design, ETL processes, and data integration.
- Proficiency in working with both relational and NoSQL, SQL Server, Microsoft BI and SSIS
- Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) is preferred.
- Knowledge of data governance, compliance, and security principles.
- Strong leadership skills with the ability to lead and mentor technical teams.
- Excellent problem-solving and critical-thinking skills.
- Effective communication and presentation skills to convey technical concepts to non-technical
- stakeholders.
- Relevant certifications (e.g., Certified Data Professional, AWS Certified Big Data) are advantageous.
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