Sr Data Architect

Title: Sr. Data Architect

Location: Philadelphia PA MUST be onsite

Duration: 1 year

No H1Bs & CPTs

Job Summary:

The Senior Data Architect within the Marketing Technologies domain is responsible for designing implementing and maintaining data architecture solutions to support marketing initiatives and strategies. This role involves collaborating with crossfunctional teams to understand business requirements identifying data sources and creating data models that optimize data storage retrieval and analysis. The Senior Data Architect will also play a key role in ensuring data governance data quality and compliance with regulatory standards within the marketing technology ecosystem.

Key Responsibilities:

Data Architecture Design: Design and develop scalable highperformance data architecture solutions that support marketing analytics customer segmentation campaign management and personalization initiatives.

Data Modeling: Create and maintain conceptual logical and physical data models that align with business requirements and facilitate efficient data storage retrieval and analysis.

Data Integration: Collaborate with data engineers and integration specialists to integrate data from various sources (e.g. CRM systems marketing automation platforms thirdparty data providers) into centralized data repositories.

Data Governance: Establish data governance frameworks policies and procedures to ensure data integrity privacy and compliance with regulatory standards (e.g. GDPR CCPA) within the marketing technology ecosystem.

Data Quality Management: Implement data quality management processes including data profiling cleansing and enrichment to maintain the accuracy and reliability of marketing data assets.

Interface with Quality Assurance teams to ensure cross functional support of solutions.

Technical Leadership: Provide technical leadership and guidance to junior data architects and data engineering teams ensuring best practices are followed in data architecture design and implementation.

Stakeholder Collaboration: Collaborate with marketing stakeholders business analysts data scientists and IT teams to understand business requirements translate them into technical solutions and communicate architecture decisions effectively.

Technology Evaluation: Stay informed about emerging technologies tools and platforms in the marketing technology landscape and evaluate their potential to enhance data architecture capabilities and drive business outcomes.

Performance Optimization: Identify opportunities to optimize data storage processing and retrieval performance through database tuning indexing strategies and data partitioning techniques.

Documentation and Communication: Document data architecture designs standards and guidelines and effectively communicate them to relevant stakeholders to ensure alignment and understanding across the organization.

Familiar with software development methodologies Agile/Scrum/Kanban and understanding of enterprise project lifecycle.

Experience in developing architectural solutions which contain multiple tiers.

Familiar with identity resolution and identity management concepts within MarTech.

Qualifications:

Bachelors or Masters degree in Computer Science Information Systems or related field.

Proven experience 15 years as a data architect or similar role within the marketing technology domain.

Indepth knowledge of data modeling principles techniques and tools (e.g. ERwin ER/Studio PowerDesigner).

Handson experience with relational databases (e.g. Oracle SQL Server MySQL) and NoSQL databases (e.g. MongoDB Cassandra).

Proficiency in data integration technologies (e.g. ETL tools data virtualization API integrations).

Strong understanding of data governance principles data quality management and regulatory compliance requirements.

Excellent analytical and problemsolving skills with the ability to translate business requirements into technical solutions.

Strong leadership and communication skills with the ability to collaborate effectively with crossfunctional teams and stakeholders.

Preferred Qualifications:

Experience with cloudbased data platforms (e.g. AWS Azure Google Cloud Platform).

Familiarity with big data technologies (e.g. Hadoop Spark Kafka).

Certification in data management or related field (e.g. Certified Data Management Professional DAMA Certified Data Management Professional).

Experience with marketing analytics tools (e.g. Google Analytics Adobe Analytics Salesforce Marketing Cloud) and how to drive key performance indicators.

Knowledge of machine learning and predictive analytics concepts and techniques.