Senior Data Architect

JOB SUMMARY:

We are seeking a highly skilled Senior Data Architect to lead the design and implementation of our data architecture framework. In this role, you will collaborate closely with cross-functional teams including data engineers, analysts, and business stakeholders to define requirements, develop solutions, and deliver robust data infrastructure that supports our business objectives.

RESPONSIBILITIES AND DUTIES:

• Design and implement scalable data architecture solutions that align with business goals and technical requirements.
• Develop and maintain data models, ensuring data quality, consistency, and integrity throughout the data lifecycle.
• Lead efforts in data integration, migration, and transformation projects across diverse platforms and systems.
• Evaluate new technologies and tools to enhance data management and analytics capabilities.
• Collaborate with internal teams to optimize data workflows, improve efficiency, and drive innovation.
• Provide technical leadership and mentorship to junior team members, promoting best practices and continuous learning.

FAQs:

1. What is the role of a Senior Data Architect?

• As a Senior Data Architect at [Company Name], you will be responsible for designing and implementing scalable data architecture solutions that support our business objectives. This includes collaborating with cross-functional teams to ensure data quality, consistency, and integrity throughout the data lifecycle. You’ll also play a key role in evaluating new technologies and tools to enhance our data management and analytics capabilities.

2. What qualifications and experience are required for the Senior Data Architect position?

• We are looking for candidates with proven experience in a Data Architect or similar role within a complex data environment. Strong knowledge of database design, data warehousing, and data modeling principles is essential. Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, etc.) is highly desirable. A Bachelor’s degree in Computer Science, Engineering, or a related field is required, with a Master’s degree preferred.

3. What skills are important for success in this role?

• Key skills include proficiency in SQL, NoSQL, and ETL processes, strong analytical and problem-solving abilities, and effective communication skills with both technical and non-technical stakeholders. The ability to provide technical leadership, mentorship to junior team members, and promote best practices in data architecture is also crucial.

4. What benefits and perks does it offer?

• We offer competitive salaries with performance-based bonuses, comprehensive health benefits including medical, dental, and vision coverage, a 401(k) retirement plan with company match, flexible work hours, and remote work options. Professional development opportunities and tuition reimbursement are also available to support your career growth.