Senior Manager_Data Architect-Tech Ops

Summary about Organization A career in our Advisory Acceleration Center is the natural extension of PwC’s leading global delivery capabilities. The team consists of highly skilled resources that can assist in the areas of helping clients transform their business by adopting technology using bespoke strategy, operating model, processes and planning. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. An essential and strategic part of Advisory's multi-sourced, multi-geography Global Delivery Model, the Acceleration Centers are a dynamic, rapidly growing component of our business. The teams out of these Centers have achieved remarkable results in process quality and delivery capability, resulting in a loyal customer base and a reputation for excellence. .

Job Description

Senior Data Architect with experience in design, build, and optimization of complex data landscapes and legacy modernization projects. The ideal candidate will have deep expertise in database management, data modeling, cloud data solutions, and ETL (Extract, Transform, Load) processes. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures.

Key areas of expertise include

• Design and implement scalable and efficient data architectures to support business needs.
• Develop data models (conceptual, logical, and physical) that align with organizational goals.
• Lead the database design and optimization efforts for structured and unstructured data.
• Establish ETL pipelines and data integration strategies for seamless data flow.
• Define data governance policies, including data quality, security, privacy, and compliance.
• Work closely with engineering, analytics, and business teams to understand requirements and deliver data solutions.
• Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses (Snowflake, BigQuery, Redshift).
• Ensure high availability, disaster recovery, and backup strategies for critical databases.
• Evaluate and implement emerging data technologies, tools, and frameworks to improve efficiency.
• Conduct data audits, performance tuning, and troubleshooting to maintain optimal performance
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 13+ years of experience in data modeling, including conceptual, logical, and physical data design.
• 5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query.
• Proven experience with NoSQL databases and data modeling techniques for non-relational data.
• Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark).
• Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems.
• Strong understanding of data governance, data security, and compliance best practices.
• Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner).
• Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders.
  
  

Preferred Skills

• Experience with modern data architectures, such as data fabric or data mesh.
• Knowledge of graph databases and modeling for technologies like Neo4j.
• Proficiency with programming languages like Python, Scala, or Java.
• Understanding of CI/CD pipelines and DevOps practices in data engineering.