Job Summary:
We are seeking an experienced Data Architect to design, implement, and maintain robust data architectures that support scalable analytics, reporting, and AI/ML initiatives. The ideal candidate will lead the development of enterprise-wide data models, data warehousing strategies, and cloud-based data solutions while ensuring performance, governance, and security.
Key Responsibilities:
- Design and implement end-to-end data architecture solutions across operational and analytical systems.
- Develop and maintain data models, data lake, data warehouse, and ETL pipelines.
- Define and enforce data governance, metadata management, and data quality standards.
- Collaborate with stakeholders to translate business needs into scalable data solutions.
- Work with cloud services (AWS, Azure, or GCP) for data storage, processing, and analytics.
- Ensure data architectures align with enterprise architecture frameworks and industry best practices.
- Lead data platform modernization and cloud migration efforts.
- Evaluate and recommend tools and technologies for data processing, storage, and access.
Required Skills & Qualifications:
- Bachelor’s or Master’s in Computer Science, Information Systems, or a related field.
- 7+ years of experience in data architecture, data engineering, or related roles.
- Strong experience with data modeling (OLTP & OLAP), ERDs, dimensional models, and normalization techniques.
- Proficiency in SQL, ETL tools (e.g., Talend, Informatica, Apache NiFi), and data integration.
- Hands-on experience with cloud data platforms like AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake.
- Familiarity with big data frameworks (e.g., Hadoop, Spark) and streaming technologies (Kafka, Kinesis).
- Strong understanding of data governance, privacy laws (e.g., GDPR, HIPAA), and security protocols.
Preferred Qualifications:
- Experience with data catalog and lineage tools (e.g., Apache Atlas, Collibra).
- Exposure to AI/ML pipelines and data preparation for machine learning.
- Certifications such as AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, or equivalent.
- Experience in data mesh or data fabric architecture is a plus.
What We Offer:
- Lead role in shaping enterprise data strategy.
- Modern tech stack and high-impact projects.
- Collaborative and innovation-driven work environment.
- Competitive salary and professional growth opportunities.