Enterprise Data Architect

1 week ago


Bengaluru Karnataka, India ateeca Full time

**Company Description**

At least 15+ years experienced Enterprise Data Architect needed for designing, implementing, and governing the organization's enterprise-wide data strategy and architecture. This individual will possess a deep understanding of diverse data technologies, architecture best practices, and the ability to translate business needs into robust data solutions.

**Responsibilities**:

- Lead the development and execution of the enterprise data strategy:

- Analyze business needs and data requirements across various departments.
- Define the target state data architecture, aligning with business objectives and technology roadmap.
- Develop and implement data governance policies, standards, and procedures.
- Recommend and implement data management solutions, including data warehousing, data lakes, and data lakes.
- Design and implement data solutions:

- Design and develop logical and physical data models, considering scalability, performance, and security.
- Select and configure appropriate data integration tools and technologies.
- Ensure data quality, consistency, and accessibility across the organization.
- Collaborate with data engineers, developers, and business analysts to implement data solutions.
- Provide technical expertise and guidance:

- Advise stakeholders on data architecture best practices and emerging technologies.
- Mentor and guide junior data architects and data engineers.
- Develop and maintain technical documentation for data architecture and solutions.
- Stay up-to-date on the latest data management trends and technologies:

- Continuously research and evaluate new data management tools, platforms, and methodologies.
- Identify and recommend opportunities to leverage emerging technologies for data-driven initiatives.

Qualifications:

- 15+ years of experience in enterprise data architecture, data modeling, and data management.
- Proven track record of successfully designing and implementing complex data solutions.
- In-depth knowledge of data modeling techniques, data governance principles, and data security best practices.
- Expertise in various data management technologies, including data warehousing, data lakes, ETL/ELT tools, and data integration platforms.
- Strong understanding of cloud computing and its implications for data management.
- Excellent communication, collaboration, and problem-solving skills.
- Ability to work independently and as part of a cross-functional team.

Preferred Qualifications:

- Experience with big data technologies (e.g., Hadoop, Spark).
- Experience with data visualization tools and techniques.
- Experience in a specific industry relevant to the organization.

**Additional Information**
All your information will be kept confidential according to EEO guidelines.



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