Senior ManagerData Architect-Tech Ops
Senior ManagerData Architect-Tech Ops
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Technology StrategyManagement Level
Senior ManagerJob Description & Summary
Summary about OrganizationA career in our Advisory Acceleration Center is the natural extension of PwCs 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. Youll 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 Advisorys multisourced multigeography 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.
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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 cloudbased 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:
Bachelors or Masters 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 nonrelational data.
Experience with data warehousing concepts ETL/ELT processes and big data frameworks (e.g. Hadoop Spark).
Handson experience delivering complex multimodule 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.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Architectural Engineering Cloud Virtualization Coaching and Feedback Communication Continuous Deployment Continuous Integration/Continuous Delivery (CI/CD) Creativity Data Infrastructure DevOps Practices Embracing Change Emotional Regulation Empathy Hardware Troubleshooting Inclusion Influence Infrastructure Architecture Infrastructure Management Infrastructure Monitoring Infrastructure Optimization Infrastructure Services Infrastructure Support 26 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
YesJob Posting End Date
Required Experience:
Senior Manager
Employment Type
Full-Time
