Manager Data Architect

Role Overview: As a Data Architect at PwC, you will play a vital role in designing and implementing scalable, high-performance data solutions across traditional and cloud-based platforms. Your expertise in PySpark, SQL, Python, and Data Modelling, along with a strong understanding of modern data engineering practices, will be crucial for this role. You will be responsible for creating and maintaining data pipelines, optimizing SQL queries for data transformation, developing Python and PySpark scripts for large-scale data processing, and ensuring data quality and consistency through data modeling in Databricks. Key Responsibilities: - Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments - Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses - Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows - Create and maintain data models in Databricks, ensuring data quality and consistency - Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency - Implement data governance and security best practices in cloud environments - Collaborate across teams to translate business requirements into robust technical solutions Qualifications Required: - 8+ years of hands-on experience in Data Engineering - Strong command over SQL, Python, and PySpark for data manipulation and analysis - Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) - Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) - Solid understanding of ETL/ELT processes and best practices in cloud architectures - Experience with dimensional modeling, star schemas, and data mart design - Strong analytical thinking and problem-solving skills Additional Details: At PwC, you will be part of a purpose-led and values-driven community that rewards your contributions, supports your wellbeing, and offers inclusive benefits and flexibility programs. The environment at PwC drives innovation and enables you to make a tangible impact in the real world. The company believes in providing equal employment opportunities and creating an inclusive environment where each individual can contribute to personal and firm growth without discrimination based on various factors. (Note: The company values and equal employment opportunities have been summarized in the Additional Details section) Role Overview: As a Data Architect at PwC, you will play a vital role in designing and implementing scalable, high-performance data solutions across traditional and cloud-based platforms. Your expertise in PySpark, SQL, Python, and Data Modelling, along with a strong understanding of modern data engineering practices, will be crucial for this role. You will be responsible for creating and maintaining data pipelines, optimizing SQL queries for data transformation, developing Python and PySpark scripts for large-scale data processing, and ensuring data quality and consistency through data modeling in Databricks. Key Responsibilities: - Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments - Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses - Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows - Create and maintain data models in Databricks, ensuring data quality and consistency - Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency - Implement data governance and security best practices in cloud environments - Collaborate across teams to translate business requirements into robust technical solutions Qualifications Required: - 8+ years of hands-on experience in Data Engineering - Strong command over SQL, Python, and PySpark for data manipulation and analysis - Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) - Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) - Solid understanding of ETL/ELT processes and best practices in cloud architectures - Experience with dimensional modeling, star schemas, and data mart design - Strong analytical thinking and problem-solving skills Additional Details: At PwC, you will be part of a purpose-led and values-driven community that rewards your contributions, supports your wellbeing, and offers inclusive benefits and flexibility programs. The environment at PwC drives innovation and enables you to make a tangible impact in the real world. The company believes in providing equal employment opportunities and creating an inclusive environment where each individual can contribute to personal and firm growth without discrimination based on various factors. (Note: The company values and equal employment opportunitie