Data Architect

• Define and implement enterprise data architecture strategy, roadmap, and standards.
• Architect end-to-end data pipelines, ETL/ELT frameworks, and integration patterns.
• Lead modernization initiatives from legacy platforms to cloud-based data ecosystems.
• Define data governance, metadata management, lineage, and data quality frameworks.
• Collaborate with business and technology teams to translate requirements into scalable data solutions.
• Design real-time and batch data processing architectures.
• Provide architecture guidance to development teams
• Establish enterprise standards for master data management (MDM), reference data, and analytics enablement.
• Support AI/ML, reporting, BI, and advanced analytics initiatives

Must Have Technical/Functional Skills

10+ years of overall IT experience with 5+ years in Data Architecture, Data Engineering, and Enterprise Data Management, Technical Skills

• Strong experience in Data Architecture, Data Modeling, and Data Engineering.
• Expertise in SQL and database technologies
• Hands-on experience with Cloud Platforms:

o Amazon Web Services (AWS)

o Microsoft Azure

o Google Cloud Platform (GCP)

• Experience with Big Data & Data Processing:

o Spark, Hadoop, Kafka, Databricks

• Strong knowledge of ETL/ELT tools:

o Ab Initio, Informatica, Talend, DataStage, Airflow

• Experience with Cloud Data Warehouses:

o Snowflake, Redshift, BigQuery, Databricks

• Expertise in data modeling techniques:

o Conceptual, Logical, Physical Data Models

o Dimensional Modeling (Star/Snowflake Schema)

o Data Vault Modeling

• Familiarity with data governance tools and frameworks.
• Experience in API integrations, microservices, and event-driven architecture.
• Knowledge of Generative AI / AI-ready data architecture
• Knowledge of data mesh, data fabric, and modern data platforms

Architecture & Leadership

• Domain expertise in Banking and Financial sector
• Strong understanding of enterprise architecture frameworks and best practices.
• Experience defining data standards, reusable frameworks, and architecture governance.
• Ability to lead architecture discussions with CXOs, business stakeholders, and engineering teams.
• Experience with Agile/Scrum delivery models.

Preferred Certifications

• AWS Certified Data Analytics / Solutions Architect
• Snowflake Certification
• Databricks Certification
• TOGAF (mandatory)

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Skills: Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Banking Services, Best Practices, Business Intelligence, Cloud Computing, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Database Technology, Ecosystems, Enterprise Architecture, Finance, GCP (Good Clinical Practices), Information Technology & Information Systems, Leadership, Master Data Management (MDM), Metadata, Microservices, Requirements Management, SQL Databases, Scrum Project Management and Software Development, Standards Development, TOGAF - The Open Group Architecture Framework