Data Architect

Job Description: Data Architect
Paramus, NJ (Hybrid, Onsite)
6 to 12 months+

Position Overview:
We are seeking a highly skilled and experienced Data Architect to join our team. As a Data Architect, you will be responsible for designing, developing, and implementing robust data solutions that support our organization's data needs. The ideal candidate will possess a strong understanding of DB2, Snowflake, Quicksight, Python, and AWS services, along with expertise in data modelling, database design, data integration, data visualization, and data ingest/ingress.

Responsibilities:
- Design and develop scalable data architectures that align with the organization's business objectives and data requirements.
- Collaborate with stakeholders to understand data needs and translate them into comprehensive data models, ensuring data integrity and quality.
- Use industry-standard data modelling techniques and tools to create conceptual, logical, and physical data models that represent the organization's data landscape.
- Evaluate and select appropriate data management technologies and tools, including DB2, Snowflake, Quicksight, Python, and AWS services, to support the organization's data infrastructure.
- Develop and implement data integration strategies, including ETL/ELT processes, to facilitate the movement and transformation of data across different systems.
- Design efficient data ingest/ingress mechanisms to acquire data from various sources and ensure its timely and accurate availability for analysis.
- Design and optimize data storage and retrieval mechanisms, ensuring efficient and high-performance data access.
- Utilize data visualization tools such as Quicksight to create insightful reports, dashboards, and visualizations that enable data-driven decision-making.
- Ensure data security and compliance with industry standards and regulations throughout the data lifecycle.
- Establish and enforce data governance practices, including data naming conventions, data definitions, and data lineage.
- Collaborate with cross-functional teams, including data engineers, developers, and business analysts, to implement data solutions and provide technical guidance.
- Stay up-to-date with emerging technologies, trends, and best practices in data management, data modelling, data integration, data visualization, and data ingest/ingress.

Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Architect or a similar role, with a strong track record of designing and implementing data solutions of more than 10 years.
- In-depth understanding of database technologies such as DB2 and Snowflake, including data modelling, schema design, and performance optimization.
- Proficiency in data visualization tools like Quicksight to create insightful reports, dashboards, and visualizations.
- Strong programming skills in Python for data manipulation, analysis, and scripting tasks.
- Solid knowledge of AWS data services, including data warehousing, data lakes, and serverless computing.
- Familiarity with data integration techniques and tools, such as ETL/ELT processes and data integration platforms.
- Experience with data ingest/ingress mechanisms and technologies to acquire data from various sources.
- Experience with industry-standard data modelling techniques and tools (e.g., ER/Studio, ERwin, Power Designer).
- Excellent problem-solving and analytical thinking abilities, with a keen attention to detail.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Ability to adapt to a fast-paced and dynamic work environment.
- Certifications in relevant technologies, data modelling, and data visualization frameworks are a plus.