Senior Data Architect
2 months ago
Job Description :
Company Description :
Voyager Partners Consultancy LLC is a leading Workforce Management service provider with a focus on helping people find rewarding jobs and staying relevant in the ever-changing world of work. Our consultants across locations provide personal, dedicated attention to talent and clients, and we use data lake, data mining, and AI technology to provide scalably relevant advice. Our combination of tech-based solutions and personal touch makes Voyager Partners a unique offering in the industry.
For more information, please visit our website at
Role Description :
This is a full-time on-site role as a Senior Data Architect in Bengaluru. The Senior Data Architect will be responsible for overseeing the design, governance, and integration of data architecture in our projects, as well as hands-on management of complex data models, data governance, ETL processes, and data warehousing. They will also work closely with cross-functional teams on various data-related projects..
Qualifications :
- Data Governance and Data Architecture skills.
- Data Modeling and ETL experience.
- Data Warehousing proficiency.
- Experience in overseeing complex data architecture projects.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills.
- Bachelor's or Master's degree in Computer Science or related field.
- Experience in the Workforce Management industry is a plus.
Key Responsibilities :
- Lead the development and implementation of enterprise-wide data architecture strategies, standards, and best practices to support business objectives and enable data-driven decision-making.
- Design and implement scalable, high-performance data models, data pipelines, and data integration solutions that meet the needs of diverse stakeholders and business units.
- Define and maintain data standards, governance policies, and data management processes to ensure data quality, integrity, and security across the organization.
- Collaborate with cross-functional teams, including business stakeholders, data engineers, analysts, and IT professionals, to understand requirements, gather insights, and drive consensus on data architecture solutions.
- Evaluate and recommend emerging technologies, tools, and platforms to enhance data architecture capabilities and support future growth and innovation.
- Develop and maintain conceptual, logical, and physical data models, data dictionaries, and metadata repositories to document and communicate data architecture artifacts and standards.
- Provide technical leadership and mentorship to junior data architects and data engineering teams, fostering a culture of collaboration, continuous learning, and innovation.
(ref:hirist.tech)-
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