Arkatechture

Engineering Manager

Arkatechture

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $120,000 - $140,000 per year

Job Level

SeniorLead

Tech Stack

AWSCloudDockerKubernetesMicroservicesOraclePostgresPythonSDLCSQLTableau

About the role

  • Oversee all ELT pipeline tasks for Arkalytics implementations, ensuring accuracy, security, scalability, and performance.
  • Provide hands-on technical leadership for the design, development, and review of code across data pipelines and integrations.
  • Serve as the primary technical point of contact for clients on all Arkalytics pipeline implementation matters and escalations.
  • Collaborate with Implementation Managers to define project milestones, ensure deliverables are met on time and within budget, and proactively address client issues.
  • Identify and escalate issues and risks appropriately, ensuring transparent communication and timely resolution.
  • Conduct technical reviews of code and releases prior to deployment, ensuring reliability, security, and compliance.
  • Partner with Solution Architects to define and implement best-in-class technologies and practices across Arkalytics.
  • Work closely with the Production Support Lead to monitor, troubleshoot, and resolve production issues, including participating in triages as needed.
  • Take ownership of challenges, apply creative problem-solving, and proactively remove roadblocks to guide the team to success.
  • Encourage continuous learning and innovation in areas such as data engineering, AI, stream processing, and cloud data services.
  • People management responsibilities for engineers, including mentoring, coaching, and training for success.
  • Participate in team staffing decisions, including hiring, onboarding, and performance management
  • Additional responsibilities as assigned

Requirements

  • Bachelor’s degree in a relevant field or equivalent work experience.
  • 10+ years of professional software engineering experience, including: At least 2+ years in a leadership or management role At least 2+ years in a client-facing role
  • Proven track record of managing engineering teams delivering production systems or SaaS platforms.
  • Strong technical foundation in cloud-based platforms (AWS preferred).
  • Hands-on coding proficiency in Python, with experience designing and building data pipelines, integrations, and applications
  • Experience with data platforms, data pipelines, or analytics solutions.
  • Hands-on experience with Docker, ECS, Fargate, Kubernetes, microservices, and message queues (required).
  • Experience providing production support and troubleshooting complex systems.
  • Solid understanding of modern engineering practices including CI/CD, automated testing, and DevOps principles.
  • Experience with relational databases such as Snowflake, SQL Server, Oracle, Aurora, or PostgreSQL (required).
  • Experience working with APIs (REST APIs, SDKs, CLI tools) (required).
  • Experience working with multi-format files such as JSON, XML, CSV, flat files, etc.
  • Strong organizational skills with the ability to prioritize competing demands and balance short-term needs with long-term goals.
  • Familiarity with collaboration and productivity tools such as Git, Jira, Confluence, and Slack in an Agile environment.
  • A strong understanding of Agile software development life cycle and methodology
  • Excellent communication and collaboration skills, with the ability to work cross-functionally.
  • Track record of successfully implementing software applications or data projects end-to-end
  • Experience working with offshore teams is required
  • Preferred Experience: AWS Developer Associate certified or AWS Solution Architect certified or AWS SysOps Administrator is a must AWS professional or specialty certified is a nice to have Hand-on experience with Snowflake, Tableau or other modern data warehousing/analytics platforms Domain exposure in Financial Services (Credit unions or Banks) Knowledge of prompt engineering techniques and experience using Generative AI tools (e.g., for code assistance, documentation, or workflow automation) to improve engineering productivity and innovation