Data Architect

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)