Data Architect

Software Skills :

Technical Skill – Data Architect, ETL, Data Engineer, Python, SQL and Any
Cloud

Job Description

• Develop architectural strategies for data modelling, design and implementation to meet stated requirements for metadata management, master data management, Data warehouses, ETL and ELT.
• Analyzing business requirements, designing scalable/ robust data models, documenting conceptual, logical & physical data model design, helping developers in development/ creating DB structures and supporting developers throughout the project life cycle.
• 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 modelling methods and information management systems to determine which ones should be incorporated onto data architectures, and develop implementation timelines and milestones.
• Recognizes and resolves conflicts between models, ensuring that information and data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).
• Participates in the design of the information architecture: supports projects, reviews information elements including models, glossary, flows, data usage.
• Provides guidance to the team in achieving the project goals/milestones.
• Works 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.

Candidate Profile :

• 10+ years of relevant experience in Data modelling for DW & analytics applications / Database related technologies.
• Expert data modelling 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 (eg..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 post graduate in Computer science/Electronics/Software engineering