Define and communicate a clear, future-forward vision for CoreSite’s unified data and analytics architecture.
Define data product strategy and lifecycle management.
Align data strategy with enterprise goals, ensuring the platform supports operational efficiency, business intelligence, and digital transformation.
Develop and enforce architectural guardrails, principles, and standards for data, API, and AI ecosystems.
Evaluate and introduce emerging technologies that advance CoreSite’s data-driven capabilities.
Design and oversee the implementation of scalable, distributed, and secure data platforms.
Architect modern systems that integrate data lakes, data warehouses, streaming/event-driven pipelines, and machine learning infrastructure.
Lead the design of end-to-end data flows, ensuring reliability, consistency, and performance across all data domains.
Apply Domain-Driven Design (DDD) principles to create modular, loosely coupled data services.
Ensure architecture supports hybrid cloud integration and elasticity (AWS, Azure, or GCP).
Drive enterprise-wide adoption of data literacy and self-service analytics.
Partner with product, engineering, DevOps, data science, and business stakeholders to translate business needs into technical architecture.
Serve as a trusted advisor to executive leadership, influencing enterprise technology direction and investment.
Facilitate architectural reviews and drive decision-making across multiple technical teams.
Champion best practices for data integration, API design, and cross-platform interoperability.
Establish enterprise data governance frameworks to ensure data quality, lineage, and compliance.
Implement lifecycle management standards for master data, metadata, and reference data.
Collaborate with DevOps to enhance CI/CD pipelines and automation in data testing, deployment, and observability.
Promote consistent use of data models, patterns, and architectural templates across business units.
Build and mentor a team of data engineers and architects.
Lead the Data Engineering practice, overseeing standards, processes, and continuous improvement initiatives.
Foster a culture of innovation, collaboration, and architectural excellence aligned with CoreSite’s guiding principles.

Requirements

10–15+ years of experience in software and data architecture, with at least 7–10 years focused on enterprise-scale data ecosystems.
Proven record of designing and delivering data-intensive, cloud-native platforms.
Expertise in Data Lakes (AWS S3, Azure Data Lake) and Data Warehouses (Snowflake, BigQuery, Redshift), Modern ETL/ELT pipelines and orchestration (Airflow, dbt, etc.)
Domain-Driven Design, microservices, and event-driven architectures
Strong foundation in data modeling, metadata management, and data governance.
Experience driving architecture reviews, defining standards, and influencing at the enterprise level.
Deep understanding of Agile, CI/CD, and DevOps practices.
Experience within the Salesforce ecosystem, including Salesforce Data Cloud, Tableau, and MuleSoft. (Preferred)
Proficiency with Microsoft SQL Framework (SQL Server, SSIS, SSAS, SSRS). (Preferred)
Knowledge of AI/ML platforms, vector databases, and data privacy regulations. (Preferred)
Demonstrated success in leading enterprise data modernization or cloud transformation initiatives. (Preferred)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata product strategydata lifecycle managementDomain-Driven Designdata modelingmetadata managementdata governancecloud-native platformsETLdata integration

Soft Skills

leadershipcommunicationcollaborationinfluencingmentoringinnovationdecision-makingstrategic thinkingproblem-solvingfacilitation