Virtusa

Senior Data Architect

Posted On

Aug. 14, 2024

Location

Pune, Maharashtra

Experience Level

Full Time

Job Type

Experienced

Apply By

Oct. 2, 2024

Job Description

Skill: Senior Data Architect – Data Engineering, Data Quality, Data strategy, Data on Cloud
Role: T0
The ideal professional for this Data Architect role focused on data strategy and architecture will:

● Liaise with senior stakeholders to define data strategy, governance and architecture for an enterprise.
● Play a critical role in designing and architecting data engineering solutions to extract, organize, transform, consume and secure data access for authorized individuals.
● Have extensive experience with data pipeline migration and modernization.
● Be experienced in working with and extracting value from large, disconnected, and/or unstructured datasets.
● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
● Create and implement data models, design databases, and ensure data security and availability.
● Hands-on experience in working with various data on cloud solutions including snowflake
● Develop and implement data quality standards and processes.
● Validate data pipelines, ETL processes, and data transformations.
● Work closely with data analysts and business users to validate data outputs.
● Establish data governance policies and procedures.
● Identify areas for continuous improvement in current systems.
● Monitor data lineage and metadata to maintain data quality over time.
● Collaborate with legal and compliance teams to address data-related legal requirements

Qualifications
• Bachelor's degree in information systems, a computer-related field, or equivalent professional experience (20+ years) is required.
• Preferred master’s degree in management, computer science, information systems, or a related discipline, or equivalent and extensive related project experience.
• Experience in multi-cloud data platform pipeline migration and hands-on experience working with AWS, Azure, or GCP.
• Experience in Data & Analytics projects is a must.
• Familiarity with tools like DBT, Airflow, and data test automation.
• Strong skills in SQL queries in big data tools such as Hive, Impala, and Presto.
• Knowledge of data profiling techniques.
• Attention to detail in identifying data anomalies.
• Data modeling experience – relational and dimensional with consumption requirements (reporting, dashboarding, and analytics).
• Ability to apply technical knowledge to architect and design solutions that meet business and IT needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of new deployments, infusing key Data Engineering & Analytics technologies where applicable.
• Be the Voice of the Customer to share insights and best practices, connect with the engineering team to remove key blockers, and drive migration solutions and implementations.
• Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency, and workload management.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Ability to translate technical concepts to non-technical stakeholders.
Skill: Senior Data Architect – Data Engineering, Data Quality, Data strategy, Data on Cloud
Role: T0
The ideal professional for this Data Architect role focused on data strategy and architecture will:

● Liaise with senior stakeholders to define data strategy, governance and architecture for an enterprise.
● Play a critical role in designing and architecting data engineering solutions to extract, organize, transform, consume and secure data access for authorized individuals.
● Have extensive experience with data pipeline migration and modernization.
● Be experienced in working with and extracting value from large, disconnected, and/or unstructured datasets.
● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
● Create and implement data models, design databases, and ensure data security and availability.
● Hands-on experience in working with various data on cloud solutions including snowflake
● Develop and implement data quality standards and processes.
● Validate data pipelines, ETL processes, and data transformations.
● Work closely with data analysts and business users to validate data outputs.
● Establish data governance policies and procedures.
● Identify areas for continuous improvement in current systems.
● Monitor data lineage and metadata to maintain data quality over time.
● Collaborate with legal and compliance teams to address data-related legal requirements

Qualifications
• Bachelor's degree in information systems, a computer-related field, or equivalent professional experience (20+ years) is required.
• Preferred master’s degree in management, computer science, information systems, or a related discipline, or equivalent and extensive related project experience.
• Experience in multi-cloud data platform pipeline migration and hands-on experience working with AWS, Azure, or GCP.
• Experience in Data & Analytics projects is a must.
• Familiarity with tools like DBT, Airflow, and data test automation.
• Strong skills in SQL queries in big data tools such as Hive, Impala, and Presto.
• Knowledge of data profiling techniques.
• Attention to detail in identifying data anomalies.
• Data modeling experience – relational and dimensional with consumption requirements (reporting, dashboarding, and analytics).
• Ability to apply technical knowledge to architect and design solutions that meet business and IT needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of new deployments, infusing key Data Engineering & Analytics technologies where applicable.
• Be the Voice of the Customer to share insights and best practices, connect with the engineering team to remove key blockers, and drive migration solutions and implementations.
• Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency, and workload management.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Ability to translate technical concepts to non-technical stakeholders.

Jobs at Pune

Virtusa

Dotnet Azure Lead

Full Time

Pune, Maharashtra

Senior Data Architect Apply Now

Job Description

Jobs at Pune

More Jobs at Virtusa

Actively Recruiting Companies at Pune, Maharashtra

Senior Data Architect