Delivery Lead:

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 GCP 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 status/risks/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 GCP.
• 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.

Location: Jersey City, NJ

Rate/ Salary: up to $90/hr