Sr.Data Engineer/Data Architect Location : Irving CA. Must attend In person interview. Need strong experience with Databricks Lakehouse Architecture, Azure Data Platform, AWS Data Services, DBT Transformation Framework, Asset Management Domain Enablement,

Sr.Data Engineer/Data Architect Location : Irving CA

Must Have Technical/Functional Skills

Data Bricks, EBT Airflow, Asset Management exp

Roles & Responsibilities:

We are seeking a highly experienced EDO (Enterprise Data Office) Program Level Tower Lead to drive large-scale enterprise data transformation initiatives within the Asset Management domain.

The ideal candidate will possess strong leadership capabilities with deep expertise in Databricks, dbt, Azure, AWS, Data Governance, Data Engineering, and Modern Data Platforms.

The role requires ownership of end-to-end delivery of the Data Tower, including strategy. architecture, execution, stakeholder management, governance, and program oversight across multiple workstreams supporting investment, operations, risk, compliance, and client reporting functions.

Key Responsibilities:

Program Leadership & Governance

Lead the Data Tower within enterprise-wide EDO transformation programs.

Define and execute data strategy aligned with business and technology objectives.

Manage multiple delivery teams across data engineering, analytics, governance, and cloud platforms.

Drive program planning, budgeting, resource management, and delivery governance.

Establish KPis, SLAs, risk management frameworks, and program health reporting.

Present program status and strategic recommendations to C-level stakeholders.

Data Platform & Architecture Leadership

Lead the design and implementation of modern data platforms leveraging:

Databricks Lakehouse Architecture

Azure Data Platform

AWS Data Services

DBT Transformation Framework

Define scalable architecture patterns for batch, streaming, and real-time analytics workloads.

Establish enterprise data standards, best practices, and reusable frameworks.

Asset Management Domain Enablement

Drive data initiatives supporting:

Portfolio Management

Investment Research

Trading & Order Management

Performance & Attribution

Risk Analytics

Compliance & Regulatory Reporting

Client Reporting

Security Master & Reference Data Management

Collaborate with business stakeholders to define data products and business capabilities.

Data Engineering Leadership

Lead development of enterprise-grade data pipelines using Databricks and cloud-native technologies.

Define ELT/ETL frameworks utilizing dbt and modern data engineering methodologies.

Ensure high-quality delivery through automation, CI/CD, testing, and observability practices.

Optimize data processing costs and performance across cloud environments.

Key Words to search in Resume

• Databricks
• DBT
• Azure
• AWS
• Data Governance & Engineering
• Asset Management Domain expertise