Senior Data Architect (6-10 yrs)

Job Description :

Key Responsibilities :

- Design and develop robust and scalable data architectures for various business domains, including data lakes, data warehouses, data pipelines, and data marts.

- Ensure data solutions are aligned with business requirements, industry best practices, and enterprise architecture standards.

- Define data models, data quality rules, and data governance policies.

- Conduct thorough data analysis and impact assessments to identify potential risks and challenges.

- Leverage cloud technologies and platforms (e.g., AWS, Azure, GCP) to design and implement cloud-native data solutions.

- Utilize cloud-based services such as data warehousing, data lakes, data streaming, and machine learning platforms.

- Optimize data solutions for performance, scalability, and cost-effectiveness in the cloud environment.

- Design and implement data security measures to protect sensitive data from unauthorized access and breaches.

- Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA).

- Implement robust data governance and data quality controls.

- Collaborate with data engineers and other IT teams to implement data solutions.

- Provide technical guidance and support to development teams.

- Monitor and evaluate the performance of data solutions and make necessary adjustments.

- Stay abreast of the latest advancements in data technologies and industry best practices.

- Research and evaluate new technologies and tools to improve data solutions.

- Contribute to the development and improvement of data architecture standards and best practices within the organization.

Required Skills & Experience :

- 6+ years of experience in data architecture, data engineering, or a related field.

- Strong understanding of data warehousing, data lakes, data pipelines, and other data integration technologies.

- Experience with cloud computing platforms (AWS, Azure, GCP) and cloud-native data services.

- Proficiency in data modeling techniques (e.g., dimensional modeling, data vault).

- Experience with data quality and data governance best practices.

- Strong analytical and problem-solving skills.

- Excellent communication and interpersonal skills.

- Ability to work independently and as part of a team.

- Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills & Experience :

- Experience with big data technologies (e.g., Hadoop, Spark, Kafka).

- Experience with data visualization and business intelligence tools.

- Experience with Agile development methodologies.

- Relevant industry certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate).