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Data Architect

LeadingResponse
Posted 2 months ago, valid for 16 days
Location

Tampa, FL 33689, US

Salary

Competitive

Contract type

Full Time

Flexible Spending Account

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Sonic Summary

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  • LeadingResponse is seeking a mid-level Data Architect with strong AWS skills to build and maintain data pipelines, focusing on Golden Record creation and Master Data Management.
  • The ideal candidate should have a Bachelor's or Master's degree in Computer Science or a related field, along with extensive experience in enterprise data architectures.
  • This full-time position is based in either Atlanta, GA or Tampa, FL, offering a competitive base salary and benefits including health coverage and a 401(k) with company match.
  • Candidates should have at least 5 years of experience in data engineering, with expertise in SQL, Python, and cloud-based data services.
  • The role involves collaboration across teams to ensure data systems meet organizational needs, while adhering to best practices in data quality and governance.

Job DetailsJob Location: LeadingResponse Headquarters - Tampa, FL 33634Position Type: Full TimeLeadingResponse, we help clients in financial services, healthcare, legal, and senior living connect with high-intent consumers through data-driven, omnichannel marketing. Our consumer-facing campaigns reach millions each month through direct mail, live events, digital ads, and more. We are seeking a mid-level Data Architect with strong AWS skills to build and maintain data pipelines that support Golden Record creation(CDP) and Master Data Management (MDM). This role focuses on identity resolution, data quality, and delivering trusted, unified data assets across the organization. Responsibilities include developing data models and supporting analytics initiatives. The candidate will collaborate with cross-functional teams to ensure data systems are aligned with organizational needs and industry’s best practices.   This position will be based in Atlanta, GA or Tampa, FL.   What You’ll Do: Define and own the conceptual, logical, and physical data models; establish standards for modeling, metadata, lineage, retention, and quality across platforms. Design and steward Golden Records (e.g., Customer, Leads) within an MDM framework; set survivorship, standardization, and enrichment rules. Specify identity resolution approaches (deterministic/probabilistic matching, deduplication) and guide implementation across domains. Define reference architectures and patterns for scalable AWS data pipelines and services (Glue, Lambda, Step Functions, EMR/Spark, S3, Athena, Redshift); drive cost, performance, and reliability best practices. Architect incremental, real‑time, and event‑driven data processing (Kinesis, SNS/SQS), ensuring resilient, observable pipelines. Oversee CI/CD and IaC (CloudFormation, Terraform) for data workloads and infrastructure templates. Design semantic layers and curated datasets for business consumption to enable self-service analytics and executive dashboards using BI tools like Tableau, PowerBI. Establish enterprise data quality frameworks (validation, profiling, monitoring) and SLAs for trusted datasets. Partner with Infrastructure and Business on data privacy, access controls, encryption, and auditability (aligned with governance tools like Glue Data Catalog, Collibra, Alation). Translate business requirements into target‑state architectures and solution designs; review solution/tech designs produced by engineering teams. Guide troubleshooting and optimization of production data systems; champion operability and SRE practices for data pipelines. Document standards, patterns, and architecture decisions; mentor engineers and analysts on data architecture practices. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field (or equivalent experience). Deep expertise designing and governing enterprise data architectures, including MDM, identity resolution, data quality, and survivorship rules. Hands‑on AWS experience across data services (Glue, Lambda, Step Functions, S3, Athena, Redshift, EMR/Spark). Strong SQL, with emphasis on PostgreSQL; proficiency in Python, C#, and/or Spark for data engineering workloads. Experience with ETL/ELT design, Spark transformations, and distributed data processing. Proven ability to collaborate cross‑functionally and operate effectively in an on‑site team environment. Experience with CDP platforms and event‑driven cloud architectures. Proven experience designing data solutions that support BI and dashboarding tools. Familiarity with data governance/catalog solutions (Glue Data Catalog, Collibra, Alation). CI/CD and IaC tools (CloudFormation, Terraform). Experience with our data stack is a plus: We use PostgreSQL, RedPoint, MySQL, and Microsoft SQL Server. Analytical problem‑solving and systems thinking. Clear communication across technical and business stakeholders; ability to translate between business outcomes and architectural choices. Proactive, detail‑oriented approach with high standards for data accuracy and reliability. Benefits You’ll Receive:  Be part of a dynamic, growth-focused company transforming consumer acquisition through innovation Gain valuable experience managing paid and organic programs Collaborate with a high-performing, cross-functional marketing team Enjoy a flexible work schedule and opportunities for professional growth Creative, fast-paced work environment Competitive base salary  Two weeks paid vacation during the first full year  Fitness reimbursement  Referral bonus program  Health/Dental/Vision/HSA/FSA coverage available 1st of the month following your hire date  401(k) with company match  Paid holidays    For additional information about LeadingResponse, please visit www.leadingresponse.com.  Equal Opportunity Employer, Drug free employer and workplace.       Qualifications




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