Data Architect - Healthcare domain is mandatory - EHR -Electronic Health Record
15+ years of relevant experience in Data modelling for DW & analytics applications / Database
Expert data modelling skills (conceptual, logical and physical model design, experience with
Enterprise Data Warehouses and Data Marts).
Willing to some on Proof of concept with short turn around time.
Solid understanding of cloud database technologies and services (AWS, 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
Having good knowledge of health care data especially on EHR data will be a good value add
Role and Responsibilities
Develop architectural strategies for data modelling, design and implementation to meet stated
requirements for metadata management, master data management, Data warehouses, ETL and
Analysing 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
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