Sr Data Architect, Richardson

INPERSON INTERVIEWS ARE MANDATORY - NEED LOCALS
As a
Senior Data Architect
, you will lead the design, development, and implementation of
scalable, high-performance data platforms
that support advanced analytics, AI/ML, and enterprise reporting.
This is a
hands-on role
, combining
strong data engineering expertise
with architectural leadership to build
modern, AI-ready data ecosystems
.
You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into
robust, secure, and future-ready data solutions
.
Responsibilities
Design and implement
end-to-end modern data architectures
, including
data lakes, lakehouses, and data warehouses
.
Lead hands-on development of
ETL/ELT pipelines
, ensuring scalability, reliability, and performance.
Architect and optimize
batch and streaming data pipelines
across cloud and hybrid environments.
Drive best practices for
data modeling (conceptual, logical, physical)
to support analytics and reporting.
Build and manage integrations between
enterprise systems, data platforms, and third-party APIs
.
Ensure data consistency, quality, and lineage across multiple sources.
Implement
metadata management, orchestration, and monitoring frameworks
.
Enable
AI/ML-ready data foundations
for advanced analytics, NLP, and intelligent automation.
Support
structured and unstructured data processing
to enable downstream analytics use cases.
Exposure to
Ontology and Knowledge Graphs
is a strong plus for semantic modeling and contextual analytics.
Qualifications
Bachelor's or Master's degree in
Computer Science, Data Engineering, or related field
.
10+ years of overall experience
, with
3+ years in data architecture and platform design
.
Strong
hands-on expertise in data engineering
and modern data platforms.
Proven experience building
enterprise-scale data platforms and data products
.
Deep familiarity with
Snowflake, Databricks, Azure Synapse
, or equivalent platforms.
Strong knowledge of
SQL, data modeling, metadata management, and orchestration tools
.
Experience with
BI and reporting tools
.
Solid understanding of
data governance and MDM frameworks
.
Excellent communication, stakeholder management, and technical leadership skills.
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