Rede Mulher Empreendedora · 1 week ago
Data Architect
Tampa, FL
Full-time
Onsite
Mid LevelRme Llc is a company that helps clients in financial services, healthcare, legal, and senior living connect with consumers through data-driven marketing. They are seeking a mid-level Data Architect to build and maintain data pipelines, focusing on identity resolution, data quality, and delivering trusted data assets across the organization.
EducationEmploymentNon ProfitTrainingWomen's
Responsibilities
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
Qualification
Required
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)
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
Preferred
Experience with our data stack is a plus: We use PostgreSQL, RedPoint, MySQL, and Microsoft SQL Server
Benefits
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
Company
Rede Mulher Empreendedora
A RME - Rede Mulher Empreendedora tem como propósito empoderar empreendedoras, garantindo independência financeira e de decisão sobre seus negócios e suas vidas.
Founded in 2010
11-50 employees
Funding
Current Stage
Early StageRecent News
2025-02-19
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