Data Architect - ETL

Role: Data Architect

Location: Tampa, FL (or)

Atlanta, GA (Onsite)

Type: Fulltime/Permanent

About the Role

At Leading Response, we help organizations across financial services, healthcare, legal, and senior living connect with high-intent consumers through data-driven, Omni channel marketing. Our campaigns reach millions each month via direct mail, live events, and digital channels.

We are seeking a

mid-level Data Architect

with strong

AWS expertise

to design, build, and optimize scalable data solutions. This role will focus on

Customer Data Platform (CDP), Master Data Management (MDM), identity resolution, and data quality

, enabling the creation of trusted “Golden Records” across the organization.

This position is based in

Atlanta, GA or Tampa, FL (onsite)

.

Key Responsibilities

• Define and own

conceptual, logical, and physical data models

, along with standards for metadata, lineage, retention, and data quality.

• Design and manage

Golden Records

(e.g., Customer, Leads) within an MDM framework, including survivorship and enrichment rules.

• Architect and guide

identity resolution strategies

(deterministic and probabilistic matching, deduplication).

• Design scalable

AWS-based data architectures

using services such as Glue, Lambda, Step Functions, S3, Athena, Redshift, and EMR/Spark.

• Build and optimize

real-time and event-driven pipelines

using Kinesis, SNS, and SQS.

• Establish best practices for

performance, cost optimization, reliability, and scalability

.

• Implement and oversee

CI/CD pipelines and Infrastructure as Code (IaC)

using CloudFormation or Terraform.

• Develop

curated data layers and semantic models

to support self-service analytics and BI tools (Tableau, Power BI). 66

• Establish

enterprise data quality frameworks

, including validation, profiling, monitoring, and SLAs.

• Collaborate with cross-functional teams to ensure

data governance, privacy, and security compliance

.

• Translate business requirements into

scalable architecture and technical solutions

.

• Lead troubleshooting and optimization of production data systems; promote

SRE and observability practices

.

• Document architecture standards and mentor engineers on

data architecture best practices

.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field (or equivalent experience).
• Strong experience in

enterprise data architecture

, including MDM, CDP, identity resolution, and data quality frameworks.

• Hands-on expertise with

AWS data services

(Glue, Lambda, Step Functions, S3, Athena, Redshift, EMR/Spark).

• Advanced

SQL skills

(PostgreSQL preferred).

• Proficiency in

Python, Spark, or C#

for data engineering.

• Experience designing and implementing

ETL/ELT pipelines

and distributed data systems.

• Experience supporting

BI and analytics platforms

such as Tableau or Power BI.

• Familiarity with

data governance tools

(Glue Data Catalog, Collibra, Alation).

• Experience with

CI/CD and IaC tools

(CloudFormation, Terraform).

• Strong collaboration and communication skills across technical and business teams.

Preferred Qualifications

• Experience with

Customer Data Platforms (CDP)

and marketing data ecosystems.

• Exposure to

event-driven architectures

and real-time data processing.

• Experience with tools such as

PostgreSQL, RedPoint, MySQL, and SQL Server

.

• Strong analytical mindset with a focus on

data accuracy, reliability, and scalability

.