**Line of Service** Advisory **Industry/Sector** Technology **Specialism** Advisory \- Other **Management Level** Senior Manager **Job Description \& Summary** PwC ETIC is seeking a seasoned Data Architect with extensive experience in designing and implementing enterprise\-level data platforms. The ideal candidate will have over 10 years of experience in data architecture, with a focus on working with hyperscale platforms. You will be responsible for defining, creating, and overseeing scalable data architectures that enable organizations to leverage data for strategic business initiatives. A strong background in working with cloud hyperscalers (AWS, Azure, GCP) is preferred Key Responsibilities: Data Architecture Design: * Lead the design and development of scalable and flexible data architectures to meet complex business requirements across various platforms and environments. * Create comprehensive data models, data flow diagrams, and data integration architectures to support both transactional and analytical systems. * Ensure that data architectures are designed to handle both structured and unstructured data, while considering performance, scalability, and security. Cloud Data Platforms: * Design and implement data platforms ensuring seamless integration with existing on\-premise or cloud environments. * Architect end\-to\-end data pipelines, including ingestion, storage, processing, and analytics, using modern cloud data technologies. * Collaborate with cloud engineering and DevOps teams to deploy, monitor, and optimize cloud\-based data solutions. Data Governance \& Security: * Ensure that data governance practices are integrated into the architecture, covering data quality, metadata management, data lineage, and regulatory compliance. * Implement best practices for data security, ensuring that all data architectures comply with relevant data privacy laws and standards (GDPR, CCPA). * Work with security teams to embed data security measures within cloud platforms and on\-premise systems, ensuring data encryption and secure access control. Stakeholder Engagement \& Collaboration: * Collaborate closely with business stakeholders, data scientists, and analysts to understand data requirements and deliver tailored solutions that enable data\-driven decision\-making. * Act as a trusted advisor to senior leadership, presenting architecture strategies, roadmaps, and solutions to solve complex business challenges. * Work cross\-functionally with IT, cloud engineers, and development teams to ensure alignment on data architecture initiatives and their implementation. Technology Leadership: * Evaluate and recommend emerging technologies, tools, and frameworks in the data architecture space, ensuring that the company remains at the cutting edge of data management and analytics. * Mentor and guide junior architects and data engineers, fostering a culture of continuous improvement and innovation. * Stay up to date of industry trends in data architecture, big data, cloud data platforms, and related technologies. Qualifications: * Experience: + 10\+ years of experience in data architecture and implementation of enterprise data platforms. + Good experience working with hyperscalers (AWS, Azure, GCP) + Proven track record of designing and implementing cloud\-native data platforms, including data lakes, warehouses, and pipelines. * Technical Skills: + Strong proficiency in cloud data technologies (e.g., Amazon Redshift, Google BigQuery, Azure Synapse, Databricks). + Experience in data modeling, data warehousing, and data integration (ETL/ELT). + In\-depth knowledge of data governance, data security, and compliance frameworks. + Proficiency in working with big data tools and relational databases (e.g., SQL Server, PostgreSQL, MySQL). * Soft Skills: + Strong analytical and problem\-solving skills. + Excellent communication and leadership abilities, with the capacity to influence stakeholders and present complex ideas clearly. + Ability to thrive in a fast\-paced, collaborative, and evolving environment. Preferred Certifications: * AWS Certified Data Analytics – Specialty * Microsoft Certified: Azure Data Engineer Associate * Google Professional Data Engineer * Certified Data Management Professional (CDMP) **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** **Desired Languages** *(If blank, desired languages not specified)* **Travel Requirements** Not Specified **Available for Work Visa Sponsorship?** No **Government Clearance Required?** No **Job Posting End Date**