Data Architect

Data Architect

Senior Data Architect with experience in design, build, and optimization of complex data

landscapes and legacy modernization projects. The ideal candidate will have deep expertise in

database management, data modeling, cloud data solutions, and ETL (Extract, Transform,

Load) processes. This role requires a strong leader capable of guiding data teams and driving

the design and implementation of scalable data architectures.

Key areas of expertise include

• Design and implement scalable and efficient data architectures to support business
• needs.
• Develop data models (conceptual, logical, and physical) that align with organizational
• goals.
• Lead the database design and optimization efforts for structured and unstructured data.
• Establish ETL pipelines and data integration strategies for seamless data flow.
• Define data governance policies, including data quality, security, privacy, and
• compliance.
• Work closely with engineering, analytics, and business teams to understand
• requirements and deliver data solutions.
• Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses
• (Snowflake, BigQuery, Redshift).
• Ensure high availability, disaster recovery, and backup strategies for critical databases.
• Evaluate and implement emerging data technologies, tools, and frameworks to improve
• efficiency.
• Conduct data audits, performance tuning, and troubleshooting to maintain optimal
• performance.

Qualifications:

• Bachelors or Masters degree in Computer Science, Information Systems, or a related
• field.
• 13+ years of experience in data modeling, including conceptual, logical, and physical
• data design.
• 5 8 years of experience in cloud data lake platforms such as AWS Lake Formation,
• Delta Lake, Snowflake or Google Big Query.
• Proven experience with NoSQL databases and data modeling techniques for non-
• relational data.
• Experience with data warehousing concepts, ETL/ELT processes, and big data
• frameworks (e.g., Hadoop, Spark).
• Hands-on experience delivering complex, multi-module projects in diverse technology
• ecosystems.
• Strong understanding of data governance, data security, and compliance best practices.
• Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner).
• Excellent leadership and communication skills, with a proven ability to manage teams
• and collaborate with stakeholders.

Preferred Skills:

• Experience with modern data architectures, such as data fabric or data mesh.
• Knowledge of graph databases and modeling for technologies like Neo4j.
• Proficiency with programming languages like Python, Scala, or Java.
• Understanding of CI/CD pipelines and DevOps practices in data engineering.

Please Note: Must have Experience in Data Governance & Data Modeling.