Data Architect

Job Title: Data Architect
Location: Jersey City, NJ (Onsite)
Duration: Long Term Contract

Job Summary:

To play a pivotal role in designing and implementing complex technical solutions, ensuring they align with business objectives and industry best practices. (1.) Key Responsibilities
To design and architect large-scale solutions, ensuring scalability, performance, and security.
To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated.
To continuously upskill with cutting-edge tech to deliver high-quality, future-proof solutions meeting client expectations and industry standards.
To leverage domain/tech expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals.

Required Skills:

12+ years of relevant experience in Data Management, Big Data (Hadoop, Scala, Spark, Hive), ETL Talend, AWS
Technical Expertise in financial services industry and/or regulatory environments
Excellent knowledge and experience on solutioning Cloud native solutions
Experience with migrating on-prem applications to Cloud Architectures or developing cloud native applications for any of the following: AWS, Azure, Google Cloud Platform, 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.
Consistently demonstrates clear and concise written and verbal communication
Management and prioritization skills
Ability to develop working relationships
Ability to manage multiple activities and changing priorities
Ability to work under pressure and to meet tight deadlines
Self-starter with ability to take the initiative and master new tasks quickly
Methodical, attention to detail
Executes the architectural vision for all IT systems through major, complex IT architecture projects; ensures that architecture conforms to enterprise blueprints.
Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies.
Develops modern data architecture considering data sources, destinations, and processing infrastructure, leveraging data warehouses, data lakes, data fabric, and data mesh architectures to streamline data pipelines and ensure effective data flow, integration, and processing.
Can establish comprehensive data management procedures, including data virtualization for a holistic view of organizational data and data democratization to promote a data-driven culture, ensuring all teams have access to relevant data regardless of technical expertise.
Fosters a culture of data governance, ensuring that data activities are well-coordinated and successfully executed by relevant data teams, promoting consistency, quality, and compliance across the organization.
Designs data architecture and management practices to facilitate the generation of advanced analytics and insights, enabling the extraction of valuable information from data assets to spur innovation and corporate growth.