
Data Architect
3 weeks ago
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Head of Human Resources | Technical Recruiter | Fintech | Startup EnthusiastRole Overview:
We are seeking an experienced and detail-oriented Data Architect to design and optimize our enterprise data systems. The ideal candidate will have at least 8 years of experience in data modeling, database architecture, and analytics infrastructure, with a strong background in SQL/NoSQL databases, data pipelines, cloud platforms, and data governance. This role is critical to shaping how data is stored, processed, and consumed across the organization.
Key Responsibilities:
- Design and implement data architecture strategies that support business objectives.
- Define data models, data flow diagrams, and schemas across structured and unstructured data.
- Lead the design of data pipelines and ETL/ELT workflows for ingestion, transformation, and storage.
- Architect and manage data lakes, data warehouses, and real-time data platforms.
- Ensure data quality, integrity, security, and compliance with regulatory requirements.
- Collaborate with engineering, product, and analytics teams to align data strategies with business goals.
- Optimize database performance, indexing strategies, and query tuning.
- Establish and enforce data governance standards and best practices.
- Evaluate and integrate new tools, platforms, and technologies to improve the data ecosystem.
- Document data architecture decisions, technical designs, and data dictionaries.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication to bridge technical and business teams.
- Ability to lead data strategy discussions and influence architecture decisions.
- Experience with project and stakeholder management.
- Strategic mindset with attention to long-term scalability and maintainability.
Technical Skills & Experience:
- 5+ years of experience in data engineering or architecture roles.
- Expertise in relational databases (e.g., MySQL, PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- Strong experience with data modeling tools (e.g., ERwin, dbt, Lucidchart).
- Hands-on with big data technologies such as Hadoop, Spark, Hive, Presto.
- Proficiency in ETL/ELT tools (e.g., Apache NiFi, Talend, Informatica, Airflow).
- Experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Azure Synapse).
- Strong knowledge of data warehousing concepts, data lakes, and real-time streaming architectures.
- Familiarity with Kafka, Kinesis, or other event streaming tools.
- Proficient in Python, SQL, and optionally Java or Scala for data processing.
- Solid understanding of data security, encryption, access control, and compliance standards (GDPR, HIPAA, etc.).
Interested candidates matching the above criteria may send their resume mentioning the position
"Data Architect" at careers@simpaisa.com
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
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