Data Architect Lead

3 weeks ago

Hassan, Karnataka, India Impelsys Full time

Data Architect Lead

About the Role

We are seeking a highly skilled Data Architect Lead to join our team at Impelsys. As a key member of our data architecture team, you will be responsible for developing architectural strategies for data modeling, design, and implementation to meet stated requirements for metadata management, master data management, data warehouses, ETL, and ELT.

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/robust data models, document conceptual, logical & physical data model design, and help developers in development/creating DB structures.
  • Lead and mentor data engineers: This role will be responsible for leading and developing 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 (e.g., entity names, relationships, and definitions).
  • Participate in the design of the information architecture: support projects, review information elements including models, glossary, flows, data usage.
  • Provide guidance to the team in achieving the project goals/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 & components, capability building, aligning industry trends, and actively engaging with wider data communities.

Requirements

  • 10+ years of relevant experience in data modeling for DW & analytics applications/database related technologies.
  • Expert data modeling skills (i.e., 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 like data curation, representation, standardization, normalization, and any other type of processing that prepares the 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

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