Principal Data Architect

Key Responsibilities

• Architecture:

• Design and lead the development of a scalable, reliable, compliant and secure data architecture that spans enterprise applications, analytics, reporting needs and guarantees real-time delivery of accurate data

• Define standards and best practices for data modeling, governance, integrations and managing data lifecycle

• Develop conceptual, logical, and physical data models to ensure alignment with business requirements

• Define reusable data integration patterns, data flows, and pipelines across systems, applications, and platforms

• Strategy and Leadership:

• Partner with enterprise applications delivery teams and enterprise architecture to ensure our solutions keep data consistent, accurate, and secure

• Collaborate on the implementation of cloud data platforms (e.g., Snowflake, Redshift, Databricks, Azure Synapse, Big Query) and support the enterprise wide roll out

• Governance:

• Monitor and optimize database performance, scalability, and storage strategies.

• Work with security operations org to ensure compliance with data privacy, security, and regulatory requirements (e.g., GDPR, SOC 2, PCI).

• Establish governance frameworks ensuring data quality, privacy, lineage, and compliance across all sources.

• Implement robust data security practices, including RBAC, encryption, and access auditing

• AI and emerging tech:

• Infuse AI into the data landscape by setting direction and giving guidance on the development of ML models and other AI based capabilities

• Enable data democratization and advanced insights through curated datasets, semantic layers, and analytical products

Qualifications:

• 15+ years of hands-on experience in the world of data architecture, data warehouses, enterprise-wide analytics, data democratization

• Strong knowledge of relational and non-relational databases (SQL Server, Oracle, PostgreSQL, MongoDB, Cassandra), data security, and privacy regulations (GDPR, CCPA)

• Proficiency and prior hands-on experience in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Redshift, Big Query)

• Strong understanding of APIs, data contracts, and platform-as-a-product concepts.

• Proven expertise in data modeling (conceptual, logical, physical), data governance, master data management (MDM), data lineage and metadata management.

• Proven experience in implementing data lakes and data ingestion technologies

• Prior with BI/reporting tools (Tableau, Power BI, Looker etc.,)

Communication Skills:

• Strong analytical and problem-solving skills.

• Excellent communication skills to work with both technical and business teams.

• Ability to translate complex technical details into business-friendly terms.

• Self-starter with the ability to lead cross-functional data initiatives.

Preferred Certifications (Nice to Have):

• AWS Certified Data Analytics or Solutions Architect

• Google Professional Data Engineer

• Microsoft Azure Data Engineer Associate

• DAMA Certified Data Management Professional (CDMP)

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Annual Salary Guidelines: $150,000 - $195,000