Data Architect

Job Title: Data Architect

Job Summary:

We are seeking a highly skilled Data Architect to join our team at Impelsys. The successful candidate will be responsible for designing and implementing data architectures that meet the needs of our business.

Key Responsibilities:

• Develop architectural strategies for data modeling, design, and implementation to meet stated requirements for metadata management, master data management, data warehouses, ETL, and ELT.
• Analyze business requirements, design scalable and robust data models, document conceptual, logical, and physical data model design, and help developers in development and creating DB structures.
• Lead and mentor data engineers to develop a team of data engineers focused on the growth in the team's skills and ability to execute as a team using DevOps and Data Ops principles.
• Investigate new technologies, data modeling methods, and information management systems to determine which ones should be incorporated onto data architectures and develop implementation timelines and milestones.
• Recognize and resolve conflicts between models, ensuring that information and data models are consistent with the ecosystem model.
• Participate in the design of the information architecture, supporting projects, reviewing information elements, including models, glossary, flows, and data usage.
• Provide guidance to the team in achieving project goals and milestones.
• Work independently within broad guidelines and policies, with guidance in only the most complex situations.
• Contribute as an expert to multiple delivery teams, defining best practices, building reusable design and components, capability building, aligning industry trends, and actively engaging with wider data communities.

Candidate Profile:

• 10+ years of relevant experience in data modeling for DW and analytics applications/database-related technologies.
• Expert data modeling skills, including conceptual, logical, and physical model design, experience with Enterprise Data Warehouses and Data Marts.
• Solid understanding of cloud database technologies and services (e.g., AWS, Azure, Redshift, Aurora, DynamoDB, Snowflake, etc.).
• Experience in data lake technologies involving S3, Databricks Delta Lake, etc.
• Experience in working with data governance, data quality, and data security teams.
• Experienced in knowledge-driven data processing techniques, including data curation, representation, standardization, normalization, and any other type of processing that prepares data for integration, persistence, analysis, exchange/share, and so forth.
• Experience in handling very large DBs and large data volumes.
• Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production.
• Ability to lead and mentor teams for effective delivery.
• Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels.

Education:

Graduate or postgraduate in Computer Science/Electronics/Software Engineering