Senior Data Architect

Fine with the relocation

Role: Senior Data Analytics Architect

Location: Southlake, TX (100% Onsite) – No flexibility

Full Time

End Client: Finance/Banking (Domain)

Experience - 15\+

Role Overview

We are seeking an experienced

Senior Data Analytics Architect

with over 15 years of expertise in designing and delivering

enterprise-scale data, analytics, and AI-enabled solutions

. This role will lead the architecture, design, and implementation of modern data analytics platforms on

Google Cloud Platform (GCP)

, enabling advanced analytics, data warehousing, and artificial intelligence use cases.

The Senior Data Analytics Architect will work closely with

Product teams, development and production support teams, business users, and data consumers

to ensure data solutions are scalable, reliable, secure, and aligned with business objectives.

Key Responsibilities

Data \& Analytics Architecture

• Define and own the

enterprise data and analytics architecture

, aligning with business strategy and long-term analytics roadmap.

• Architect end-to-end

data warehousing, analytics, and AI-ready data platforms

.

• Design

logical, physical, and analytical data models

to support reporting, dashboards, advanced analytics, and AI/ML workloads.

• Establish architecture standards, design patterns, and best practices for analytics and data platforms.
• Architect

data ingestion, streaming, and batch pipelines

using

Informatica IDMC

,

Pub/Sub

, and

Cloud Composer

Solution Design \& Implementation

• Design and implement

cloud-native analytics solutions on GCP

, with a strong focus on

Big Query

.

• Architect scalable

data warehouses and analytics layers

optimized for high-performance querying.

• Design and oversee

data ingestion, transformation, and orchestration pipelines using Informatica IDMC

.

• Enable analytics and AI use cases by ensuring data is well-structured, governed, and accessible.

Data Analytics \& Artificial Intelligence Enablement

• Support

advanced analytics and AI initiatives

by designing data architectures optimized for machine learning and data science workloads.

• Collaborate with analytics and AI teams to ensure data availability, quality, and performance.
• Ensure the data platform supports exploratory analytics, predictive modeling, and AI-driven insights.

Development \& Production Support

• Provide hands-on architectural guidance to

development teams

throughout the development lifecycle.

• Review

SQL, Python code, and data pipelines

for performance, scalability, and reliability.

• Support

production environments

, including:

• Monitoring and troubleshooting data pipeline failures.
• Performance tuning and optimization
• Root cause analysis and issue resolution
• Ensure SLA adherence, data accuracy, and high availability of analytics systems.

Stakeholder Collaboration

• Partner with

Product teams

to translate product and analytics requirements into robust data solutions.

• Work closely with

business users and data consumers

to understand reporting, analytics, and insight needs.

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Act as a trusted advisor for data, analytics, and AI capabilities.

Data Governance, Quality \& Security

• Define and enforce

data governance, data quality, and metadata management standards

.

• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Promote best practices for data lineage, auditing, and access control across analytics platforms.

Required Skills \& Qualifications

Experience

• 15\+ years

of experience in

Data Architecture, Data Analytics Architecture, and Data Warehousing

.

• Proven experience delivering enterprise-scale data and analytics solutions.
• Strong background in supporting both

development and production environments

.

Technical Skills

• Strong hands-on experience with

GCP

, including

Big Query, Pub/Sub, and Cloud Composer

• Strong experience with:
• Big Query

(analytics design, optimization, cost, and performance tuning)

• Informatica Intelligent Data Management Cloud (IDMC)
• Advanced proficiency in

Complex SQL

(query tuning, analytical functions).

• Strong and experienced

Python

skills for data processing, automation, and analytics support.

• Extensive experience with

Data Warehousing concepts

, including dimensional and analytical data modeling.

• Experience designing data platforms for

data analytics and AI / ML workloads

.

Soft Skills

• Excellent communication and stakeholder management skills.
• Ability to translate business requirements into technical architecture.
• Strong analytical, problem-solving, and decision-making abilities.
• Proven ability to work across cross-functional and geographically distributed teams.

Required Qualifications

• Experience working in large enterprise or highly regulated environments.
• Exposure to BI tools, analytics platforms, and data science ecosystems.
• Familiarity with DevOps, CI/CD pipelines, and production monitoring for data platforms.
• Experience with data governance, cataloging, and quality tools.