Senior Data Architect โ Job Description
Job Title
Senior Data Architect
Job Summary:
We are seeking an experienced Senior Data Architect to design, develop, and maintain enterprise-wide data architecture that supports business intelligence, analytics, and digital transformation initiatives. The ideal candidate will define data standards, create scalable data models, and ensure data quality, security, and governance across the organization.
Key Responsibilities:
Design and implement enterprise data architecture, including data warehouses, data lakes, and lakehouses.
Develop conceptual, logical, and physical data models.
Define data architecture standards, policies, and best practices.
Collaborate with business stakeholders, solution architects, and engineering teams to translate business requirements into scalable data solutions.
Design and optimize ETL/ELT pipelines for efficient data integration.
Ensure data quality, consistency, integrity, and governance across platforms.
Implement data security, privacy, and compliance standards.
Evaluate and recommend modern data technologies and cloud platforms.
Optimize database performance, storage, and query execution.
Mentor data engineers, database developers, and junior architects.
Support AI/ML and advanced analytics initiatives through robust data architecture.
Document architecture, processes, and technical standards.
Required Qualifications:
Bachelor''s or Master''s degree in Computer Science, Information Systems, Data Engineering, or a related field.
10โ15+ years of experience in data architecture, database design, or data engineering.
Strong expertise in relational and NoSQL databases.
Experience designing enterprise-scale data warehouses and data lakes.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong SQL and data modeling skills.
Experience with ETL/ELT tools and data integration frameworks.
Knowledge of data governance, metadata management, and master data management (MDM).
Excellent analytical, communication, and leadership skills.
Preferred Technical Skills
SQL, Python, Scala, or Java
Snowflake, Databricks, Redshift, BigQuery, Synapse
Azure Data Factory, AWS Glue, Informatica, Talend, dbt
Apache Spark, Kafka, Airflow
Power BI, Tableau, Looker
Data Vault, Kimball, Star Schema, Snowflake Schema
Microsoft SQL Server, Oracle, PostgreSQL, MongoDB, Cassandra
Git, CI/CD, DevOps practices
Preferred Certifications
AWS Certified Data Analytics โ Specialty
Microsoft Azure Solutions Architect Expert
Microsoft Azure Data Engineer Associate
Google Professional Data Engineer
Snowflake SnowPro Core Certification
TOGAF Certification (preferred)
Key Competencies
Enterprise data architecture
Data modeling and database design
Cloud data platforms
Data governance and compliance
Performance optimization
Strategic thinking
Stakeholder management
Leadership and mentoring
Problem-solving and decision-making
Experience
10โ15+ years in data architecture, data engineering, or enterprise data management.
Experience leading enterprise-scale data modernization and cloud migration projects is highly desirable.