Manager, Software Engineering

$100,000 - $186,000/Yr

Arch - Jersey City, NJ

posted 17 days ago

Full-time - Manager
Jersey City, NJ
Accommodation

About the position

The Manager of Data Engineering is responsible for leading the alignment of information systems development with business objectives, overseeing a team of engineers, developers, data analysts, testers, and DevOps personnel. This role involves driving data and software development, ensuring project execution, and coordinating departmental priorities to meet development objectives. The position is hybrid, requiring in-office presence twice a week in specified locations.

Responsibilities

  • Responsible for effective and timely development of new and/or enhanced data platforms/systems/technologies.
  • Monitors all aspects of the Software Development Lifecycle and Production Support service levels.
  • Ensures high level technical support is provided.
  • Works closely with customers, other IT managers, and management to identify and maximize opportunities to use technology to improve business processes.
  • Prepares business cases, including financial analyses of potential new technologies/systems/applications.
  • Evaluates based on company strategic needs and resource availability.
  • Oversees business analysis, development work and quality assurance of projects for assigned systems/technologies.
  • Collaborates effectively at all levels to prepare strategic plans.
  • Ensures system requests tie into objectives of the company strategy map and budgets.
  • Contributes to the development of information technology development standards, policies, processes and procedures to ensure consistent compatibility and integration throughout the company.
  • Continuously reviews the technology needs of supported business functions/processes relative to new technological developments and trends.
  • Keeps abreast of the industry and emerging technology.
  • Participates in vendor/strategic partner evaluations and monitors the relationship on an ongoing basis.
  • Prepares/manages department budget: P&L forecasting, operational/capital expenditures, contract negotiations and invoice processing.
  • Leads and manages team to accomplish objectives through effective recruitment & selection, training & development, performance management and rewards & recognition.
  • Mentors junior offshore developers to accomplish results.
  • Builds and continuously improves data engineering best practices.

Requirements

  • Minimum of 10+ years of experience in Data Warehouse, Product Management and information technology fields.
  • 5+ years of experience in a management leadership role with increasing levels of responsibility.
  • Experience with Data transformation, Insurance P&C, Finance is a plus.
  • Demonstrated experience working in an environment that requires SOX, SOC-2, NYDFS, and other regulations compliance.
  • 6+ years ETL/ELT experience working with IICS, Informatica, StreamSets, Astronomer, DBT, Python, Data bricks, Snowflake and ADF or equivalent technologies.
  • 4+ years hands-on experience with Snowflake.
  • Experience working with SSIS, SSRS, and Power BI.
  • 3+ years hands-on experience working in an Azure environment.
  • Experience with Data warehouse/data lake/data hub modeling.
  • Experience working with external data feed to enrich internal data - desired.
  • 3+ years hands-on experience with data standardization/conformance/transformation process.
  • Solid understanding of MDM and reference data.
  • 3+ years hands-on experience with GIT, Orchestration & CI/CD process, especially in data engineering.
  • Experience working in SOX and SOC-2 compliant environment.
  • Experience with automated monitoring of data loads, developing automated workflows.

Nice-to-haves

  • Experience with Data transformation in Insurance P&C and Finance.
  • Hands-on experience with external data feeds to enrich internal data.

Benefits

  • Base salary range of $100,000 - $186,000/year, incentive eligible.
  • Opportunities for professional development and training.
  • Flexible working arrangements with a hybrid model.
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