Principal Data Architect
Access SystemsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Digital Marketing, TechnologyIndustries
Requirements
- Expertise in architecting and implementing Data Mesh or Medallion Architecture, including domain-driven data product architecture, data contracts, schemas, SLAs, lineage, and discoverability (e.g., with DataHub)
- Ability to record detailed logical and physical data models in an information repository and coordinate their publication and maintenance
- Experience defining overall vision, strategy, and roadmap for enterprise data architecture aligned with business objectives
- Proficiency in developing and maintaining enterprise data architecture roadmaps across AWS, Snowflake, and hybrid systems
- Skills in designing scalable solutions for real-time analytics, in-app data products, and AI/ML pipelines
- Capability to design and maintain blueprints for the entire data ecosystem, including conceptual, logical, and physical data models
- Knowledge to assess and recommend data technologies, platforms, and tools (e.g., AWS, Azure, GCP, SQL/NoSQL databases, analytics platforms)
- Hands-on experience writing and optimizing scripts, building scalable data pipelines, and designing schemas in Snowflake and Iceberg/S3
- Expertise in optimizing data infrastructure performance and cost using tools like Athena, Trino, DuckDB, Cube.dev, Superset, Tableau
- Collaboration skills with data governance leads to enforce policies on PII, GDPR, CCPA, and international data residency
- Ability to implement standards for encryption, row/column masking, lineage tracking, auditability, and compliance in architectural patterns (e.g., AWS Lake Formation, IAM, Glue Catalog)
Responsibilities
- Architect and implement Data Mesh or Medallion Architecture, defining and rolling 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 their publication and maintenance
- 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, including conceptual, logical, and physical data models for various systems and domains
- Assess and recommend data technologies, platforms, and tools—including cloud solutions (AWS, Azure, GCP), databases (SQL and NoSQL), and analytics platforms
- 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)
- 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.)
- 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
- 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary or compensation for the Enterprise Data Architect role?
This information is not specified in the job description.
Is this Enterprise Data Architect position remote or does it require office work?
This information is not specified in the job description.
What key skills are required for the Enterprise Data Architect role?
The role requires expertise in architecting Data Mesh or Medallion Architecture, defining data contracts, schemas, SLAs, lineage, and discoverability with DataHub, as well as hands-on experience with AWS, Snowflake, SQL/NoSQL databases, and building scalable data pipelines.
What is the company culture like at Constant Contact?
Constant Contact fosters a culture of ownership, integrity, and courage like small business owners, where team members make an impact by empowering business owners, entrepreneurs, non-profits, and individuals to succeed online.
Who will the Enterprise Data Architect report to and collaborate with?
The role reports to the Senior Director of Enterprise Data Platform and works closely with data engineers, ML engineers, software engineers, data science, AI teams, and data governance leads.
Constant Contact
Digital marketing solutions for small businesses
About Constant Contact
Constant Contact offers digital marketing solutions for small businesses and nonprofits, focusing on email and social media marketing. Their user-friendly tools help clients create effective marketing campaigns to engage their target audiences and drive sales or donations. Operating on a subscription-based model, Constant Contact provides various pricing tiers to accommodate different business sizes, making their services accessible to all. The company aims to simplify marketing for organizations that may lack the resources or expertise to manage complex campaigns.
Waltham, MassachusettsHeadquarters
1995Year Founded
$420.8MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Consumer Software, Social ImpactIndustries
1,001-5,000Employees
Benefits
Health Insurance
Paid Vacation
Hybrid Work Options
Professional Development Budget
Paid Sick Leave
Paid Holidays
Risks
Increased competition from AI-driven platforms like ActiveCampaign and Mailchimp.
Potential strategic shifts due to the sale of Siris Capital's ownership stake.
Data privacy challenges from integrations with platforms like Square.
Differentiation
Constant Contact offers AI-powered tools like Campaign Builder and BrandKit.
The company integrates with over 300 apps, including Square and HostGator.
Constant Contact provides a subscription-based model with various pricing tiers.
Upsides
Constant Contact is recognized as a market leader in email marketing.
The partnership with Square enhances marketing and transaction capabilities.
Expansion in APAC positions the company for growth in Asia-Pacific.
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