Data Architect

TechDigital Group; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology consulting firm seeks a Data Architect to innovate and design data architectures across cloud platforms. The ideal candidate will have over 12 years of experience in data management and a strong technical background in financial services, ensuring data governance and advanced analytics to drive business insights.

Qualifications

• 12+ years relevant experience in Data Management and Big Data environments.
• Proficiency in programming languages like Java and Python.
• Experience with cloud platforms like AWS, Azure, and GCP.

Responsibilities

• Execute architectural vision through complex IT projects.
• Design data architecture to facilitate advanced analytics.
• Establish comprehensive data management procedures.

Skills

Data Management

Big Data

Cloud-native solutions

ETL

Data Architecture

Communication

Project Management

Job description

Data Architect

• 12+ years of relevant experience in Data Management, Big Data (Hadoop, Scala, Spark, Hive), ETL – Talend, AWS
• Technical expertise in the financial services industry and/or regulatory environments
• Excellent knowledge and experience in solutioning cloud-native solutions
• Experience with migrating on-prem applications to cloud architectures or developing cloud-native applications for AWS, Azure, GCP, OpenShift
• Ability to work across technology stacks and perform R&D on new technologies
• Proficiency in one or more programming languages like Java, Python, etc.
• Clear and concise written and verbal communication skills
• Management and prioritization skills
• Ability to develop working relationships
• Ability to manage multiple activities and changing priorities
• Ability to work under pressure and meet tight deadlines
• Self-starter with initiative and quick learning ability
• Methodical with attention to detail
• Execute architectural vision through major, complex IT projects, ensuring conformity to enterprise blueprints
• Develop technology roadmaps and stay updated with emerging technologies to inform business strategies
• Design modern data architecture considering sources, destinations, and infrastructure, leveraging data warehouses, lakes, fabric, and data mesh architectures
• Establish comprehensive data management procedures, including data virtualization and democratization to promote a data-driven culture
• Foster a culture of data governance, ensuring coordination, quality, and compliance across data activities
• Design data architecture and practices to facilitate advanced analytics and insights for innovation and growth