Software Engineering Manager at GLOBAL SOFTWARE LLC D/B/A INSIGHTSOFTWARE.COM

Raleigh, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Business Intelligence, Database Systems, Data Engineering, ETL Processes, SQL, Data Modeling, Performance Tuning, BI Tools, Cloud Data Services, Data Governance, Compliance Standards, Agile-SCRUM, Mentoring, Collaboration, Problem Solving

Industry

Software Development

Description

Company Description insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of enterprise data and transform the way finance and data teams work. We enable leaders from over 32,000 companies to make timely and better decisions. Our comprehensive solutions span financial planning and analysis (FP&A), accounting and controlling, as well as data and analytics. We provide finance teams with the insights they need to navigate any economic climate and ensure greater financial clarity while increasing productivity, transparency, accuracy, and compliance. Learn more at insightsoftware.com Job Description We’re looking for a talented Engineering Manager to lead a team responsible for designing, building, and maintaining large-scale data platforms, business intelligence solutions, and database systems that power our analytics and decision-making capabilities. The ideal candidate is a self-starter with strong organizational skills, excellent communication abilities, and a proven track record of delivering data-driven solutions in a fast-paced environment. We value leaders who can combine technical expertise with strategic vision, foster collaboration, and drive innovation in data engineering and BI practices. The successful candidate will have a passion for data architecture, performance optimization, and enabling actionable insights through robust data solutions. Responsibilities Partner with Product and Analytics teams to define data strategies, architecture, and technical design for BI and data engineering initiatives. Lead the development and maintenance of scalable data pipelines, ETL processes, and data warehouses to support analytics and reporting needs. Translate complex business requirements into technical specifications and project plans; manage day-to-day activities of the data engineering team. Oversee the full data lifecycle, including ingestion, transformation, storage, and visualization, ensuring data integrity and security. Drive adoption of best practices for data modeling, performance tuning, and query optimization across relational and distributed systems. Manage departmental resources, staffing, and build a high-performing team focused on BI and data engineering excellence. Ensure timely delivery of high-quality data solutions within Agile-SCRUM frameworks. Implement and evolve data governance, quality assurance, and compliance processes. Recruit, mentor, and develop engineering talent; conduct performance reviews and foster professional growth. Collaborate with stakeholders to define KPIs, dashboards, and reporting tools that enable actionable insights. Continuously improve data engineering practices through automation, tooling, and emerging technologies. Core Competencies Strategic Planning & Execution – Ability to define and implement data strategies aligned with business goals. Technical Leadership – Expertise in data architecture, BI platforms, and large-scale data systems. Problem Solving – Strong analytical and critical thinking skills for complex data challenges. Quality Focus – Commitment to data accuracy, reliability, and performance optimization. Collaboration & Communication – Ability to work cross-functionally and communicate technical concepts clearly. Adaptability – Thrive in a fast-paced environment and embrace new technologies. Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field; Master’s preferred. 7+ years of experience in software engineering with focus on databases both Oracle and Postgres 5+ years of experience in data engineering, BI development, or database architecture. 3+ years in an engineering management role leading software or data engineering teams. Proven experience with large-scale data platforms and ETL frameworks. Strong knowledge of SQL, data modeling, and performance tuning for relational and distributed databases. Hands-on experience with BI tools (e.g., Power BI, Tableau, Looker) and data visualization best practices. Familiarity with big data technologies and cloud data services (AWS, Azure, GCP). Expertise in data governance, security, and compliance standards. Experience with modern development workflows and version control systems (GitHub, GitLab). Ability to mentor engineers and promote best practices in data engineering and BI development. Additional Information All your information will be kept confidential according to EEO guidelines. ** At this time insightsoftware is not able to offer sponsorship to candidates who are not eligible to work in the country where the position is located. ** Learn more about our high-energy, high-performance global team. Work With Us » insightsoftware About Us: Hear From Our Team - InsightSoftware (wistia.com) Background checks are required for employment with insightsoftware, where permitted by country, state/province. At insightsoftware, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

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Responsibilities

The Engineering Manager will lead a team in designing, building, and maintaining large-scale data platforms and business intelligence solutions. They will oversee the full data lifecycle and ensure the timely delivery of high-quality data solutions.