Delivery Lead

Hi,

We have urgent requirements for our direct client, please go through the below Job Description. If you are interested please send me your updated word format resume to and reach me @ 5231-4672.

Job Title: Delivery Lead
Location: Jersey City, NJ
Duration : 6 Months Contract

Position Overview:
As solution Architect with Cloud Expertise, you will be a key player in ensuring our clients' data assets are effectively managed, secured, and strategically leveraged for decision-making, while also playing a crucial role in capability development. In addition to your technical expertise, you will also be responsible for managing client accounts, fostering relationships, and driving revenue generation. (Needs to be a hustler and talk technology).

Must Have:
Java, Apache Spark, Python, Snowflake.
AWS expertise, any other cloud platform expertise
Good knowledge of Data management, data governance and data engineering practices

Key Responsibilities:
Assess and recommend cloud-based solutions to optimize data storage, processing, and analytics.
Collaborate with cross-functional teams to implement data governance and cloud solutions, ensuring they meet the business's needs.
Lead and inspire a global team of data engineering professionals, dedicated to the development and implementation of robust data infrastructure, platforms, and solutions.
Collaborate with other CDI analytics global leaders, ensuring the delivery of timely data load and jobs tailored to their unique needs.
Skillfully engage stakeholders spread across various time zones, prioritizing a service-oriented approach and quick response times.
Supervise a team of skilled data engineers, fostering seamless collaboration with cross-functional project teams.
Advocate for the enhancement, and adherence to high data quality standards, KPI certification methods, and engineering best practices.
Approach reporting platforms and analytical processes with innovative thinking, considering the evolving demands of the business.
Develop scalable resource plans for migrating from AWS to Google Cloud Platform with near real-time events, machine learning pipelines using our customer data platform (Segment), and purpose-built pipelines and DBs to activate systems of intelligence.
Continuously improve reporting workflows and efficiency, harnessing the power of automation whenever feasible.
Enhance the performance, reliability, and scalability of storage and compute layers of the data lake.
Dive into intricate technical challenges hands-on, guiding your team toward effective solutions.
Take ownership of critical business systems, set departmental goals, and contribute to core product strategy through excellence in data and software architecture.
Mentor, recruit, and nurture a team of high-performing data engineers, fostering their growth and professional development.
Ensure timely project delivery within budget constraints, upholding a track record of successful implementations.
Keep all the stakeholders updated about the project statrisks/issues if there are any.
Build spark data pipelines from existing legacy pipelines.
Build CI/CD pipelines.
Take complete responsibility for the project execution.
Good track record in system architecture and design.
Hands-on in Python, Scala data engineering application development.
Experience working in Agile Methodology.
Ability to learn and help the team learn new technologies quickly.
Excellent communication and coordination skills.
Must be able to integrate quickly into the team and work independently towards team goals.
Experience with CI/CD process and tools (GIT, Jenkins, SonarQube).
Good aptitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate.
Client Account Management:
Build and maintain strong client relationships by understanding their unique needs and challenges.
Act as the main point of contact for clients, addressing inquiries, providing regular updates, and ensuring client satisfaction.
Develop and execute account plans to identify growth opportunities and expand the portfolio of services provided to clients.
Qualifications:
Bachelor s and master s degree in computer science, Information Technology, or a related field.
Proven experience in data governance and cloud architecture, with a focus on cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong knowledge of data security, privacy regulations, and compliance standards.
Excellent communication and interpersonal skills to engage with clients and internal teams.
Experience in client account management and revenue generation is a significant advantage.
Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Azure Data Engineer) is a plus.
Familiarity with high-security environments like HIPAA, PCI, or similar contexts, highlighting a commitment to data privacy and security.
Accomplished in managing large-scale data sets, handling Terabytes of data and billions of records effectively.
Exceptional interpersonal skills, active listening, and a dedication to collaborative success, placing organizational goals above individual notions.
Proven ability to navigate within a matrixed organization, ensuring efficient cross-functional cooperation.
Attitude of a hustler with in-depth knowledge of relevant technology.
Highly articulate and adept at communication, capable of influencing and engaging with peers and senior executives across different regions.
He holds a Bachelor's degree in Computer Science, Information Systems, or a related field, providing a strong foundational knowledge.