What are the responsibilities and job description for the Lead Data Engineer position at NorthMark Strategies LLC?
The Company:
NorthMark Strategies is a multi-strategy investment advisory firm that provides strategic advice, asset management, and value-added professional services to investors, investment managers, and privately owned operating companies around the world. Our company’s mission is to integrate world class investments, operational excellence, and exceptional talent. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. We provide individuals with the opportunity to extend beyond boundaries and be in an optimal position to unlock exceptional value and drive unprecedented growth.
The Position:
We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, data warehousing, and cloud platforms. This role will involve leading the design and development of robust data pipelines, streaming ingestion frameworks, and scalable data architectures to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure data integrity, availability, and accessibility across the organization.
Responsibilities:
Lead the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, and data models.
Focus on Kafka, HDFS, HBase, Parquet, Spark, and Flink to ensure efficient data ingestion, storage, and processing.
Build and manage data ingestion frameworks using big data technologies, ensuring high efficiency and reliability.
Develop and optimize data storage solutions, including data warehousing, data lakes, and NoSQL databases on cloud platforms such as AWS, Azure, or Google Cloud.
Design, develop, and maintain data pipelines and workflows using Databricks to ensure efficient and reliable data ingestion, processing and storage.
Develop and maintain GraphQL API to enable seamless data access and integration across various applications and services.
Implement and manage graph databases such as Neo4j to support advanced analytics and data relationships
Utilize VectorDB to optimize and manage vectorized data, ensuring high performance querying and analysis.
Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions that meet those needs.
Ensure data quality, governance, and security through the implementation of best practices and robust monitoring systems.
Work with various data formats, including Parquet, Avro, and others, to ensure efficient data processing and storage.
Mentor and provide technical leadership to junior data engineers, fostering a culture of continuous learning and improvement.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
7 years of proven experience as a Data Engineer or in a similar role, with a strong focus on data warehousing, ETL/ELT processes, and data modeling.
Proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with big data technologies such as Kafka, Spark, HDFS, HBase, Flink, DBT, SQLMesh, etc.
Hands-on experience with Neo4j, VectorDB, Databricks, and GraphQL API.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong SQL skills and experience working with both relational and NoSQL databases.
Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with building and managing data pipelines in a multi-cloud environment.
Familiarity with data governance and data quality frameworks.
Experience in mentoring or leading a team of data engineers.
It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Benefits & Perks:
Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
401(k): Company will match 100% of your contributions up to 6%
Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
Time Off: 25 days of Paid Time Off plus 12 company holidays
EQUAL OPPORTUNITY EMPLOYER
NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.
