The Role
Design and maintain enterprise data architecture, create logical/physical data models, design databases and warehouses, oversee ETL/ELT integrations, enforce data governance and security, evaluate data technologies, collaborate with stakeholders, and document data flows and performance tuning.
Summary Generated by Built In
Roles:
- Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape.
- Data Modeling: Create and manage logical, physical, and conceptual data models to support various business applications and analytics. Database Design: Design and implement database solutions, including data warehouses, data lakes, and operational databases.
- Data Integration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, consistency, and security.
- Technology Evaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes.
- Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world’s leading brands
- Documentation: Create and maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. Performance Tuning: Optimize database performance through tuning, indexing, and query optimization.
- Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA)
Requirements:
- Helping project teams with solutions architecture, troubleshooting, and technical implementation assistance.
- Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Minimum7to15yearsofexperienceindataarchitecture or related roles.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Airflow).
- Expertise with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Knowledge of data integration tools (e.g., Informatica, Talend, FiveTran, Meltano).
- Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experience with data governance frameworks and tools.
Skills Required
- Assist project teams with solutions architecture, troubleshooting, and technical implementation
- Proficiency in SQL and experience with MySQL, PostgreSQL, Oracle, SQL Server
- 7 to 15 years of experience in data architecture or related roles
- Experience with big data technologies such as Hadoop, Spark, Kafka, Airflow
- Expertise with cloud platforms and data services (AWS, Azure, Google Cloud)
- Knowledge of data integration tools (Informatica, Talend, FiveTran, Meltano)
- Understanding of data warehousing concepts and tools (Snowflake, Redshift, Synapse, BigQuery)
- Experience with data governance frameworks and tools
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The Company
What We Do
Armakuni is a cloud-native technology consultancy and AWS Premier Partner dedicated to accelerating digital transformation for organizations worldwide. They specialize in driving digital transformation and accelerating software delivery by helping organizations use cloud-native technologies to drive growth, increase efficiency, and enhance customer value. Their expertise spans cloud advisory, deployment, integration, data engineering, and migration, positioning them as a key engineering partner for the AI era.
