Senior Global Data Warehouse Architect; Data Engineer

Job Title:

Senior Enterprise Data Platform Architect

Location:

New York, NY (Flexible Hybrid)

The Senior Enterprise Data Platform Architect will lead the design and delivery of scalable, high-performance data platforms capable of supporting advanced reporting, forecasting, and operational intelligence across a global environment. This role will establish and execute enterprise data architecture standards, optimize data movement across systems, and ensure that analytical structures are robust, reconciled, and built for long-term scalability.

The position requires hands-on technical leadership and close partnership with engineering, analytics, and business stakeholders to streamline data flows, accelerate reporting capabilities, and implement consistent governance standards across the enterprise.

• Architect and implement scalable data platform solutions leveraging modern cloud data technologies to support both real-time and batch analytical workloads
• Develop and optimize data ingestion and transformation pipelines using distributed processing frameworks and modern scripting languages
• Design and maintain analytical data models that support enterprise reporting, executive dashboards, and forecasting initiatives
• Lead integration efforts across core business systems, ensuring accuracy, reconciliation, and structural alignment within centralized data environments
• Establish governance frameworks including lineage tracking, metadata standards, and quality controls
• Drive performance tuning efforts and cost optimization strategies across compute and storage layers
• Collaborate cross-functionally with engineering, analytics, finance, and operational teams to translate business needs into technical architecture
• Evaluate and recommend emerging data technologies and architectural improvements

• 8+ years in data architecture, data engineering, or BI engineering roles
• Hands-on experience architecting solutions on Databricks and/or Snowflake
• Strong proficiency in SQL, Python, and Spark
• Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault)
• Proven experience designing data lakes and lakehouse architectures
• Strong familiarity with financial data structures, accounting schemas, and legal practice management systems such as Aderant or Elite 3E
• Experience building data solutions to support financial planning, billing, profitability, and time & expense analytics
• Experience working with AWS, Azure, or GCP (Databricks, Snowflake, S3, Delta Lake), Power BI, Tableau, or equivalent
• Strong analytical and problem-solving abilities
• Clear technical communication and documentation skills
• Ability to influence and align technical direction across teams

• Databricks Certified Data Engineer / Architect or Snowflake Snow Pro Advanced:
  Architect
• TOGAF or other enterprise data architecture credentials