Walk-in || Data Architect

ROLE: DATA Architect

Experience: 10 to 20 Years

Location: Trivandrum

Mode of Interview: Walk-in (In-Person)

Role & responsibilities

• A minimum of 5 years of experience in data architecture or a related field.
• Work experience as a data architect or in a related field.
• Practical AWS (primarily) or other public cloud data engineering experience (Azure, GCP).
• Exposure to Data Vault principles.
• Application of data governance (data lineage, data quality, cataloguing, etc).
• Practical Knowledge of Snowflake(primarily), BigQuery, CosmosDB, databricks, Redshift.
• Knowledge of ELT/ETL and data streaming engineering with relevant technologies (i.e. Kafka, dbt).
• Evidential experience of data analysis and data modelling.
• Extensive practical SQL experience.
• Strong knowledge of datawarehouse structures.
• Understanding of metadata standards.
• Practical experience of data modelling standards.
• Ability to work with technical stakeholders to assess potential risks.
• Ability to analyse existing tools and data platforms and provide recommendations.
• Demonstrated experience in working with large data sets and relational databases.
• The ability to influence stakeholders and work closely with them to determine acceptable solutions.
• Competency in Microsoft applications including Word, Excel, and Outlook.
• Experience in Confluence and Jira.
• Retail or Consumer Packaged Goods (CPG) experience.
• Has experience of working in Product led and Agile workstreams.
• Good written and verbal communication skills.

Preferred candidate profile

The Discovery Data Architect on the Transformation Factory (TF) Programme is a key role that sits within Core Management Team along with other TCS Data Architects, Product Leads, Analyst Leads, Engineering Leads and Solution Architects. You will work alongside data analysts and report directly to the Delivery Squad Product Lead. To succeed in this role, you should know how to understand and document As-Is data warehouse and examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.