Data Architect

4 days ago

Remote, India Elfonze Technologies Full time

**Job Information**:
Date Opened
- 06/25/2025

Job Type
- Full time

Industry
- IT Services

Remote Job

This is a remote position.
- Data Architect (Senior Manager)
- Job Description:

- 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:

- Bachelor’s or Master’s 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.

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