Data Architect

Data Architect

What You Will Do: Key Responsibilities

• Facilitate requirement analysis with Stakeholders

  for Data Collection, Analytics, & Machine Learning Requirements.
• Work with the

  IT Digital Product Owner

  to ensure a thorough understanding of business requirements in Data Management for the respective functional area.
• Identify and propose

  new opportunities for data services

  , driving innovation.
• Define characteristics for desired

  scale, redundancy, distribution, protection

  , and other critical criteria for different types of data services.
• Collaborate with

  Developers and other Functional Area Architects

  for cross-functional data requirements.
• Provide

  technical leadership to Scrum teams

  during development, ensuring architectural integrity.
• Define and design appropriate

  interfaces for data update, retrieval queries, and recommended workflows

  based on specific data use cases.

The Skills You Bring: Required Qualifications

• Education:

  Graduate degree (B.E./B.Tech/M.Tech) in Computer Science, Information Systems, or another quantitative field.

• Experience:

  Strong prior experience in

  Data Warehousing and BI

  , irrespective of technology. Prior experience as an

  Architect with leading a delivery team

  . Strong hands-on prior experience as a

  BI/ETL developer

  .

• Minimum 10+ years of experience

  as a Data Architect, Solution Architect, or Data Engineer.

Software/Tools: Required Expertise

• Strong understanding and experience on

  Snowflake Architecture

  .
• Strong

  Data Modelling Experience

  .
• Experienced in

  Batch and streaming processing

  (for instance Apache Spark, Storm) and relevant back-end languages such as

  Python, PySpark, and SQL

  .
• Proficient in

  Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit

  .
• Expertise with

  BI Tools

  such as Tableau, PowerBI, and also web-based dashboards and solutions.

Preferred Experience and Skills (Merits)

The more of the following experiences and skills you possess, the better:

• Cloud Agnostic Data Platforms

  such as Snowflake, Databricks, and SAP Data Warehouse Cloud.
• Ability to create

  design and data modeling independently using Data Vault 2.0

  .

• Big data technologies

  , such as Hadoop, Hive, Pig, MAPR, or Enterprise data warehousing initiatives.

• Cloud Native Data Platforms

  (Azure Synapse Analytics, Amazon Redshift).

• Azure services

  - Azure Data Factory (ADF), Azure Databricks (ADB).
• Designing

  data products

  and publishing data using a

  data marketplace platform

  .

• Authorization methods

  including Role-Based Access Control and Policy-Based Access Control.

• Data mesh implementation

  and federated model for data product development.

• Relational Data Modeling with 3NF

  .

• Modern Data Architectures

  including cloud native, microservices architecture, virtualization, Kubernetes, and containerization.

• Messaging

  (for instance Apache Kafka).

• NoSQL DBs

  , like Cassandra and MongoDB.

• RDBMS

  such as Oracle, MS SQL, MariaDB, or PostgreSQL, both row-based and columnar-based.
• Experience with

  ETL tools

  (Talend, Informatica, BODS etc.).