Constant Contact
Enterprise Data Architect
At Constant Contact, we are seriously awesome people who take ownership and make an impact by operating with the mindset, integrity and courage of a small business owner. There’s something so profoundly rewarding about knowing that your work is empowering people everywhere to pursue their dreams. Here, we all play an integral part in helping business owners, entrepreneurs, non‑profits and individuals to succeed by giving them all the help and tools they need to grow online. We’re energized by new challenges and new possibilities—and we’re just getting started!
We have an opening for an Enterprise Data Architect to help lead the design, implementation, and evolution of our global data platform. As a SaaS company providing digital marketing solutions to small businesses worldwide, we are scaling our platform to support AI, machine learning, in‑app analytics, and real‑time data products. This role is both strategic and hands‑on: you will define the standards, blueprints, and governance models for our enterprise data architecture while also contributing directly to development, schema design, and infrastructure optimization. You will play a key role in data architecture implementation across domains and partner with engineering, product, data science, and AI teams to ensure our data platform enables innovation, compliance, and scalability.
The Enterprise Data Architect will report to the Senior Director of Enterprise Data Platform and work closely with data engineers, ML engineers, software engineers, and data governance leads.
What You’ll Do
Architect & Implement Data Mesh or Medallion Architecture:
Define and roll out domain‑driven data product architecture across the enterprise.
Establish standards for data contracts, schemas, SLAs, lineage, and discoverability (with DataHub).
Record detailed logical and physical data models in the information repository and coordinate the publication and maintenance of these models.
Strategic Data Platform Design:
Define the overall vision, strategy, and roadmap for the organization’s data architecture, aligning it with enterprise business objectives.
Develop and maintain the enterprise data architecture roadmap across AWS, Snowflake, and hybrid systems.
Design scalable solutions for real‑time analytics, in‑app data products, and AI/ML pipelines.
Design and maintain the blueprint for the entire data ecosystem, which includes conceptual, logical, and physical data models for various systems and domains.
Assess and recommend the data technologies, platforms, and tools—including cloud solutions (AWS, Azure, GCP), databases (SQL and NoSQL), and analytics platforms—that best meet the organization’s needs.
Hands‑On Engineering:
Write and optimize scripts, build scalable data pipelines, and design schemas in Snowflake and Iceberg/S3.
Optimize data infrastructure performance and cost (Athena, Trino, DuckDB, Cube.dev, Superset, Tableau).
Data Governance, Compliance & Security:
Collaborate with data governance leads to enforce policies on PII, GDPR, CCPA, and international data residency.
Implement standards for encryption, row/column masking, lineage tracking, and auditability.
Ensure compliance is embedded into architectural patterns (AWS Lake Formation, IAM, Glue Catalog, etc.).
Blueprints & Standards:
Create reusable architecture patterns and design templates for ingestion, transformation, serving, and quality.
Work with engineering teams to enforce consistency in tools, pipelines, and naming conventions.
Collaboration & Influence:
Partner with domain teams (Marketing, Finance, Product, Deliverability, etc.) to ensure domain ownership of data products.
Work closely with ML/AI teams to enable model training, feature store integration, and real‑time inference pipelines.
Provide architectural leadership across global teams and mentor engineers on best practices.
Who You Are
Experience: 12+ years in data architecture, data engineering, or related fields; at least 5+ years in an architect‑level role.
Tech Expertise:
Strong hands‑on SQL, Python, or other data‑centric programming language.
Deep experience with AWS data stack (S3, Glue, Athena, Lake Formation, Kinesis/MSK, EMR/Trino, IAM).
Experience with Snowflake, with an understanding of migration paths to AWS‑native.
Knowledge of open table formats (Iceberg preferred, Delta Lake/Hudi).
Familiarity with semantic layers (Cube.dev, dbt metrics, LookML, Superset).
Architecture & Governance:
Strong understanding of data mesh principles and domain‑driven data ownership.
Data governance, compliance, and security knowledge (GDPR, CCPA, SOX).
Tools & Platforms: Experience with DataHub (catalog/lineage), dbt, Tableau; Superset a plus.
Mindset: Strategic thinker who can also roll up sleeves to write SQL, debug pipelines, and build POCs.
Collaboration: Proven track record working across engineering, product, and data science teams in a global environment.
Preferred Qualifications
Experience with machine learning data pipelines (feature stores, model serving).
Knowledge of real‑time streaming architectures (Kafka/MSK, Kinesis, Flink).
Prior experience in SaaS or marketing technology industries.
Hands‑on experience with data observability frameworks (Great Expectations, Monte Carlo, OpenLineage).
Cloud certifications (AWS Solutions Architect, AWS Data Analytics Specialty) a plus.
Success in This Role Looks Like
Within 3 months: Establish a clear data architecture blueprint and start onboarding first domain data products.
Within 6 months: Build and document enterprise‑wide standards for ingestion, transformation, governance, and serving.
Within 12 months: Deliver consistent semantic metrics (via Cube.dev or similar), enable AI/ML data pipelines, and scale the platform to support global growth.
Compensation & Benefits Pay Transparency – All Full Time Employees: $155,000—$194,000 USD. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, education, and work location. Some roles may be eligible for additional on‑target commission pay or bonus. The compensation package includes health and welfare benefits, paid leave, and a generous paid time off policy.
Why You’ll Love Us
We celebrate one another’s differences. We are proud of our culture of diversity and inclusion, and we’re always working hard to strengthen and improve it.
We’re dedicated to improving the quality of our product from a customer standpoint and have a true desire to enable the success of businesses, non‑profit organizations, and community groups.
You’ll have opportunities to grow your career. We encourage and support our team members to learn different aspects of the business, take on stretch assignments, seek coaching opportunities and professional development opportunities.
A generous paid time off policy and a competitive benefits package that supports the health and well‑being of you and your family.
Work Flexibility At Constant Contact, we’re all about work flexibility and are proud to serve our customers as a hybrid workforce. Our hybrid work model combines the convenience of remote work with access to our great office locations to collaborate in person, participate in live trainings, and socialize with colleagues.
Application Deadline 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.
Equal Opportunity Employer Constant Contact is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender identity, national origin, citizenship, age, disability, sexual orientation, genetic information, veteran status, or any other status protected under applicable law. If you require accessibility assistance applying for open positions, please contact talentacquisition@constantcontact.com.
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We have an opening for an Enterprise Data Architect to help lead the design, implementation, and evolution of our global data platform. As a SaaS company providing digital marketing solutions to small businesses worldwide, we are scaling our platform to support AI, machine learning, in‑app analytics, and real‑time data products. This role is both strategic and hands‑on: you will define the standards, blueprints, and governance models for our enterprise data architecture while also contributing directly to development, schema design, and infrastructure optimization. You will play a key role in data architecture implementation across domains and partner with engineering, product, data science, and AI teams to ensure our data platform enables innovation, compliance, and scalability.
The Enterprise Data Architect will report to the Senior Director of Enterprise Data Platform and work closely with data engineers, ML engineers, software engineers, and data governance leads.
What You’ll Do
Architect & Implement Data Mesh or Medallion Architecture:
Define and roll out domain‑driven data product architecture across the enterprise.
Establish standards for data contracts, schemas, SLAs, lineage, and discoverability (with DataHub).
Record detailed logical and physical data models in the information repository and coordinate the publication and maintenance of these models.
Strategic Data Platform Design:
Define the overall vision, strategy, and roadmap for the organization’s data architecture, aligning it with enterprise business objectives.
Develop and maintain the enterprise data architecture roadmap across AWS, Snowflake, and hybrid systems.
Design scalable solutions for real‑time analytics, in‑app data products, and AI/ML pipelines.
Design and maintain the blueprint for the entire data ecosystem, which includes conceptual, logical, and physical data models for various systems and domains.
Assess and recommend the data technologies, platforms, and tools—including cloud solutions (AWS, Azure, GCP), databases (SQL and NoSQL), and analytics platforms—that best meet the organization’s needs.
Hands‑On Engineering:
Write and optimize scripts, build scalable data pipelines, and design schemas in Snowflake and Iceberg/S3.
Optimize data infrastructure performance and cost (Athena, Trino, DuckDB, Cube.dev, Superset, Tableau).
Data Governance, Compliance & Security:
Collaborate with data governance leads to enforce policies on PII, GDPR, CCPA, and international data residency.
Implement standards for encryption, row/column masking, lineage tracking, and auditability.
Ensure compliance is embedded into architectural patterns (AWS Lake Formation, IAM, Glue Catalog, etc.).
Blueprints & Standards:
Create reusable architecture patterns and design templates for ingestion, transformation, serving, and quality.
Work with engineering teams to enforce consistency in tools, pipelines, and naming conventions.
Collaboration & Influence:
Partner with domain teams (Marketing, Finance, Product, Deliverability, etc.) to ensure domain ownership of data products.
Work closely with ML/AI teams to enable model training, feature store integration, and real‑time inference pipelines.
Provide architectural leadership across global teams and mentor engineers on best practices.
Who You Are
Experience: 12+ years in data architecture, data engineering, or related fields; at least 5+ years in an architect‑level role.
Tech Expertise:
Strong hands‑on SQL, Python, or other data‑centric programming language.
Deep experience with AWS data stack (S3, Glue, Athena, Lake Formation, Kinesis/MSK, EMR/Trino, IAM).
Experience with Snowflake, with an understanding of migration paths to AWS‑native.
Knowledge of open table formats (Iceberg preferred, Delta Lake/Hudi).
Familiarity with semantic layers (Cube.dev, dbt metrics, LookML, Superset).
Architecture & Governance:
Strong understanding of data mesh principles and domain‑driven data ownership.
Data governance, compliance, and security knowledge (GDPR, CCPA, SOX).
Tools & Platforms: Experience with DataHub (catalog/lineage), dbt, Tableau; Superset a plus.
Mindset: Strategic thinker who can also roll up sleeves to write SQL, debug pipelines, and build POCs.
Collaboration: Proven track record working across engineering, product, and data science teams in a global environment.
Preferred Qualifications
Experience with machine learning data pipelines (feature stores, model serving).
Knowledge of real‑time streaming architectures (Kafka/MSK, Kinesis, Flink).
Prior experience in SaaS or marketing technology industries.
Hands‑on experience with data observability frameworks (Great Expectations, Monte Carlo, OpenLineage).
Cloud certifications (AWS Solutions Architect, AWS Data Analytics Specialty) a plus.
Success in This Role Looks Like
Within 3 months: Establish a clear data architecture blueprint and start onboarding first domain data products.
Within 6 months: Build and document enterprise‑wide standards for ingestion, transformation, governance, and serving.
Within 12 months: Deliver consistent semantic metrics (via Cube.dev or similar), enable AI/ML data pipelines, and scale the platform to support global growth.
Compensation & Benefits Pay Transparency – All Full Time Employees: $155,000—$194,000 USD. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, education, and work location. Some roles may be eligible for additional on‑target commission pay or bonus. The compensation package includes health and welfare benefits, paid leave, and a generous paid time off policy.
Why You’ll Love Us
We celebrate one another’s differences. We are proud of our culture of diversity and inclusion, and we’re always working hard to strengthen and improve it.
We’re dedicated to improving the quality of our product from a customer standpoint and have a true desire to enable the success of businesses, non‑profit organizations, and community groups.
You’ll have opportunities to grow your career. We encourage and support our team members to learn different aspects of the business, take on stretch assignments, seek coaching opportunities and professional development opportunities.
A generous paid time off policy and a competitive benefits package that supports the health and well‑being of you and your family.
Work Flexibility At Constant Contact, we’re all about work flexibility and are proud to serve our customers as a hybrid workforce. Our hybrid work model combines the convenience of remote work with access to our great office locations to collaborate in person, participate in live trainings, and socialize with colleagues.
Application Deadline 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.
Equal Opportunity Employer Constant Contact is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender identity, national origin, citizenship, age, disability, sexual orientation, genetic information, veteran status, or any other status protected under applicable law. If you require accessibility assistance applying for open positions, please contact talentacquisition@constantcontact.com.
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