Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The data architect will be responsible for designing, building, and maintaining the data infrastructure and architecture within an organization. This role revolves around managing data assets and ensuring that data is organized, accessible, and secure.

Roles and responsibilities:

• Developing and implementing a strategic vision for data management within the organization. This involves aligning data initiatives with business objectives and identifying opportunities for data-driven decision-making.
• Designing and creating data models that capture the structure, relationships, and rules governing the organization’s data. This includes conceptual, logical, and physical data modeling, ensuring data integrity and efficiency.
• Establishing processes and standards for data integration, transformation, and loading (ETL) to ensure seamless data flow between various systems and databases. This involves designing data pipelines and workflows to consolidate and cleanse data from disparate sources.
• Establishing data governance frameworks and policies to ensure data quality, privacy, security, and compliance. Implementing data standards, defining data ownership, and overseeing data access controls.
• Overseeing the design, implementation, and maintenance of databases and data storage systems. This includes optimizing data storage, and ensuring scalability, performance, and high availability.
• Collaborating with teams to implement data security measures and safeguards. This includes data encryption, access controls, data masking, and monitoring for data breaches or vulnerabilities.
• Collaborating with data analysts and data scientists to design and optimize data structures for analytics and reporting purposes. This involves understanding the requirements of data consumers and creating data models that support effective analysis and visualization.
• Creating and maintaining documentation for data architecture, data flows, and data dictionaries.
• Collaborating with cross-functional teams, such as data engineers, product owners, product managers, to ensure the successful implementation of data initiatives.

Overall, the primary goal of the data architect is to ensure that data is accurate, accessible, and aligned with business goals.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.