Key Responsibilities Design and implement scalable, secure, and maintainable software architectures using Python and related technologies. Collaborate with stakeholders, business analysts, and cross-functional teams to understand technical and business requirements. Define architectural standards, best practices, and development guidelines for Python-based systems. Evaluate and select appropriate frameworks, libraries, and tools for various projects. Oversee code quality, performance tuning, and application optimization. Lead the migration or integration of legacy systems to modern Python-based platforms. Create and maintain technical documentation, architecture diagrams, and API specifications. Mentor development teams, conduct code reviews, and ensure adherence to architectural principles. Partner with DevOps teams to define CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment strategies. Stay up to date with emerging technologies, frameworks, and architectural trends. Required Skills & Qualifications Bachelor or Master degree in computer science, Engineering, or related field. 10+ years of hands-on experience in software development, with a focus on Python. Strong experience with Python frameworks such as Django, Flask, or FastAPI. Solid understanding of microservices architecture, RESTful APIs, and message-based communication (RabbitMQ, Kafka). Experience in cloud environments such as AWS, Azure, or GCP. Knowledge of containerization and orchestration (Docker, Kubernetes). Proficiency in database design (SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB). Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI). Strong background in software architecture design patterns, scalability, and performance optimization. Excellent problem-solving, analytical, and communication skills. Preferred Skills Experience in AI/ML, data pipelines, or ETL architectures. Familiarity with event-driven or serverless architectures. Exposure to data engineering tools (PySpark, Airflow, Databricks). Prior experience working in Agile development environments. Soft Skills Strong leadership and mentoring abilities. Excellent communication and documentation skills. Strategic thinker with attention to detail. Ability to manage multiple priorities in a fast-paced environment.
Key Responsibilities Design and implement scalable, secure, and maintainable software architectures using Python and related technologies. Collaborate with stakeholders, business analysts, and cross-functional teams to understand technical and business requirements. Define architectural standards, best practices, and development guidelines for Python-based systems. Evaluate and select appropriate frameworks, libraries, and tools for various projects. Oversee code quality, performance tuning, and application optimization. Lead the migration or integration of legacy systems to modern Python-based platforms. Create and maintain technical documentation, architecture diagrams, and API specifications. Mentor development teams, conduct code reviews, and ensure adherence to architectural principles. Partner with DevOps teams to define CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment strategies. Stay up to date with emerging technologies, frameworks, and architectural trends. Required Skills & Qualifications Bachelor or Master degree in computer science, Engineering, or related field. 10+ years of hands-on experience in software development, with a focus on Python. Strong experience with Python frameworks such as Django, Flask, or FastAPI. Solid understanding of microservices architecture, RESTful APIs, and message-based communication (RabbitMQ, Kafka). Experience in cloud environments such as AWS, Azure, or GCP. Knowledge of containerization and orchestration (Docker, Kubernetes). Proficiency in database design (SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB). Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI). Strong background in software architecture design patterns, scalability, and performance optimization. Excellent problem-solving, analytical, and communication skills. Preferred Skills Experience in AI/ML, data pipelines, or ETL architectures. Familiarity with event-driven or serverless architectures. Exposure to data engineering tools (PySpark, Airflow, Databricks). Prior experience working in Agile development environments. Soft Skills Strong leadership and mentoring abilities. Excellent communication and documentation skills. Strategic thinker with attention to detail. Ability to manage multiple priorities in a fast-paced environment.
Job description We are seeking an experienced Data Architect to join our team. The ideal candidate should have a deep understanding of data architecture principles and practices, as well as experience designing and implementing data solutions. The Data Architect will be responsible for developing and maintaining data models, designing data storage solutions, and ensuring data quality and integrity. Responsibilities: Design and develop scalable and efficient data solutions that meet business requirements. Create and maintain data models and documentation. Develop and implement data migration and transformation strategies. Participate in pre-sales activities Work with cross-functional teams to identify and resolve data-related issues Collaborate with data engineers and data scientists to ensure data accuracy and consistency. Ensure compliance with data security and privacy policies and regulations. Stay up-to-date with emerging technologies and trends in Cloud, data integration and data management Core Skills for Data Engineer: Proficiency in Python and SQL Experience working with Linux and AWS Strong analytical and problem-solving skills Ability to work independently and in a team environment Excellent communication and interpersonal skills Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus Experience with data warehousing, ETL, and data integration and data management is highly desirable Knowledge of AWS and Azure is a plus. Qualifications: Bachelors or masters degree in computer science, information technology, or related field Minimum of 10 years of experience in data architecture or related field Experience designing and implementing data solutions for enterprise-level organizations Strong knowledge of data modeling and database design principles Knowledge of data governance and compliance requirements Familiarity with Agile development methodologies and DevOps practices Deep and extensive understanding of Data Strategy, Data Management, and Data Analytics principles, and one or more of several common Data Management methodologies and capability models (eg DAMA DMBOK, DCAM, CDMC) and toolsets Must have skills: Excellent communication and interpersonal skills Excellent client presentation skills Strong analytical and problem-solving skills Ability to work independently and in a team environment You will also play a key role in developing the Data Strategy & Advisory capability within Logan Data Inc., which may include: Managing and running capability offerings or operational areas, in partnership with the Capability, Data Practice and Tech Leads Developing and sustaining excellent internal and external client and vendor partnerships Identifying and researching business development opportunities on new or existing clients and directing the development of client proposals and bids Defining internal / external-facing thought leadership Developing data methodologies and accelerators
About the Role We are seeking a proactive and results-driven Business Development Representative (BDR) to join our IT sales team. The ideal candidate will be responsible for identifying new business opportunities, engaging prospective clients, and supporting the sales pipeline for our IT solutions and services. This role requires strong communication skills, a good understanding of IT products/services, and the ability to build meaningful client relationships. Key Responsibilities Lead Generation & Prospecting Identify, research, and target potential clients through digital platforms, industry databases, and networking. Generate qualified leads using cold calls, emails, social media outreach, and marketing campaigns. Maintain and grow a strong pipeline of potential business opportunities. Client Engagement & Qualification Initiate conversations with prospects to understand their IT requirements, challenges, and business goals. Present and promote IT products/services such as cloud solutions, data engineering, software development, AI/ML, cybersecurity, integrations, and consulting services. Collaboration with Sales & Technical Teams Provide detailed insights about client needs to support proposal development and solution planning. Participate in sales meetings and contribute to strategy discussions. Market Research & Product Knowledge Stay updated on IT industry trends, emerging technologies, and competitor offerings. Develop a strong understanding of the companys products, solutions, and value proposition. Provide market feedback to support marketing and product development teams. CRM Management & Reporting Maintain accurate and up-to-date records of all activities in CRM (Salesforce, HubSpot, CEIPAL, Zoho, etc.). Track performance metrics such as leads generated, meetings scheduled, and conversion rates. Prepare and share weekly/monthly reports with sales leadership. Qualifications & Skills Required: Bachelor’s degree in Business, IT, Marketing, or a related field. 1–3 years of experience in business development, inside sales, or lead generation (preferably in IT). Basic understanding of IT services such as cloud, data, software development, cybersecurity, and integrations. Strong communication, presentation, and interpersonal skills. Ability to work with CRM tools and manage multiple tasks. Goal-driven, self-motivated, and eager to learn. Preferred: Experience working with IT consulting or SaaS companies. Familiarity with LinkedIn Sales Navigator or other prospecting tools. Knowledge of lead qualification methodologies.