We are currently looking to hire a [ Data architect] and we believe your skills and expertise are a better match for this role. We have an exciting career opportunity for you with one of our esteemed clients at Jersey City NJ
NJTECH is a globally managed IT services, IT consulting and business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. We play a major role in helping our clients to achieve their objectives at the highest level; ultimately creating sustainable value to customers.
Sorry we are not able to sponsor Visa as of now, looking for Independent consultants
Role: Data architect
Location: Hybrid Onsite - Jersey City NJ
Duration: Long-term
Key Responsibilities:
- Design and implement enterprise-wide data architecture solutions for large-scale financial services environments.
- Develop conceptual, logical, and physical data models supporting operational, analytical, and reporting platforms.
- Architect and support cloud-native data platforms including modern data lake and data warehouse ecosystems.
- Perform hands-on data engineering activities including development of ETL/ELT pipelines, data ingestion frameworks, and transformation processes.
- Design scalable batch and real-time data integration solutions for structured and semi-structured data.
- Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.
- Collaborate with enterprise architecture, governance, security, compliance, and business teams to establish data standards and best practices.
- Implement data quality, metadata management, lineage, and governance frameworks.
- Optimize data platforms for scalability, reliability, performance, and cost efficiency.
- Support regulatory, audit, risk, and compliance reporting requirements within U.S. financial industry environments.
- Participate in cloud migration and modernization initiatives involving legacy and distributed data systems.
- Enable analytics, reporting, AI/ML, and business intelligence capabilities through trusted and governed enterprise data solutions.
Required Skills & Experience:
- 8 10 years of experience in Enterprise Data Architecture and Data Modeling across modern data platforms.
- Hands-on experience with Data Engineering and development of scalable, modern data pipelines.
- Proven experience with cloud-based data platforms and distributed data processing technologies.
- Strong understanding of data warehouses, data lake, and lakehouse architecture, including implementation on Modern data platforms.
- Cloud data platforms (e.g. Snowflake, Databricks, or similar)
- On-prem data platforms / legacy data warehouses (e.g. Oracle Exadata)
- Experience designing and implementing ETL/ELT frameworks using tools native to both platforms (e.g., Spark-based pipelines, Snowflake tasks and streams).
- Experience with data integration and ingestion patterns for large-scale structured and unstructured data across platforms.
- Experience designing modern data platforms for legacy transformation initiatives.
- Experience with Master Data Management (MDM) and enterprise data governance frameworks.
- Knowledge of metadata management, data lineage, data cataloging, and data quality processes.
- Experience working with financial services data domains and regulatory/compliance-driven data environments.
- Strong SQL expertise along with programming/scripting experience in Python, PySpark, or Snowpark.
- Experience with dbt (Data Build Tool) for: Data transformation and modeling, ELT pipeline development within Snowflake/Databricks, Modular, reusable SQL-based data workflows, Data testing, documentation, and version control integration
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, including their integration with Snowflake and Databricks.
- Familiarity with API integration, real-time/streaming data pipelines (e.g., Kafka, Spark Streaming), and event-driven architectures.
- Understanding of security, compliance, and governance standards, including role-based access, data masking, and encryption in both Snowflake and Databricks.
- Experience working in Agile delivery models and collaborating with cross-functional teams.
Preferred Qualifications:
- Experience supporting enterprise modernization and cloud transformation initiatives.
- Exposure to real-time analytics and large-scale distributed data platforms.
- Knowledge of data governance and enterprise architecture frameworks.
- Strong communication and stakeholder management skills.
NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.
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