Job Listings

- Proven experience as a Cloud Architect, Data Engineer, or System Engineer in enterprise environments.
- Strong understanding of cloud architecture, networking, and security best practices.
- Hands-on experience delivering custom solutions on a major public cloud platform (GCP preferred).
- Ability to manage multiple projects simultaneously with strong organizational skills.

Experience & Track Record

• 5+ years of project management experience with at least 2 years focused on cloud technology projects
• Demonstrated success managing complex projects on-time and on budget with teams of 5–10+ members
• Proven ability to manage multiple concurrent projects with varying complexity and stakeholder needs
• Experience with Agile/Scrum methodologies and iterative delivery approaches
• Strong track record of building client relationships and achieving 85%+ satisfaction scores

Google Cloud Platform Expertise

• Google Cloud Associate Cloud Engineer certification is preferred (or Professional Cloud Architect/Developer/DevOps Engineer)
• If not currently certified: commitment to achieve Associate Cloud Engineer within 3 months and Professional Cloud Architect within 12 months of hire
• Hands-on familiarity with core GCP services: Compute Engine, GKE, Cloud Run, BigQuery, Cloud Storage, Cloud SQL, Pub/Sub, and Cloud Functions
• Understanding of cloud migration methodologies (lift-and-shift, re-platform, re-architect) and infrastructure modernization patterns

Technical Foundation

• Solid understanding of cloud architecture concepts including networking, security, identity management, and infrastructure-as-code
• Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
• Ability to engage in technical discussions with architects and engineers while understanding business implications
• Proficiency with Atlassian tools: Jira (project tracking, workflows, dashboards), Jira Service Management (request handling, SLA tracking), and Tempo (time tracking, resource planning, financial reporting)

Core Competencies

• Exceptional communication skills with ability to translate complex technical concepts for executive audiences
• Strong organizational and time management capabilities with attention to detail
• Proactive problem-solving approach with ability to navigate ambiguity and competing priorities
• Collaborative leadership style that builds trust across technical teams and business stakeholders
• Bachelor's degree in Computer Science, Information Systems, Business, Engineering, or related field (or equivalent practical experience)

- Experience selling PaaS/SaaS solutions
- Demonstrated success selling B2B software
- Ability to source, engage, and build relationships with target accounts
- Excellent written and verbal communication abilities
- Skilled in leading video-based presentations and meetings
- Capable of working with sales engineers and customer technical leads to inventory software environments, define migration strategies, and build business cases
- Strong interpersonal and collaboration abilities

- Experience: 3+ years of experience in a customer-facing technical role, such as sales engineering, solutions architecture, or consulting.
- Cloud Proficiency: Deep understanding of cloud computing concepts and technologies, with hands-on experience with Google Cloud Platform (GCP).
- Technical Skills: Proficiency in cloud-native technologies like Kubernetes, containers, and serverless computing. Experience with infrastructure-as-code, automation tools, and scripting languages.
- Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Presentation Skills: Proficient in leading technical presentations and product demonstrations.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot technical issues and identify solutions.
- Collaboration: Ability to work effectively in a team environment, collaborating with colleagues and customers.

Experience & Track Record

• 4+ years of experience in designing and deploying AI/ML or data-driven solutions, preferably within cloud environments.
• Hands-on experience with Google Cloud AI/ML services (Vertex AI, AutoML, BigQuery ML).
• Strong background in data processing, machine learning lifecycle management, and model operationalization.
• Experience developing proof-of-concepts or production-grade AI applications using Python and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Demonstrated ability to work collaboratively with technical and business teams in client-facing roles.

Google Cloud Platform Expertise

• Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certification preferred.
• If not currently certified, commitment to achieve Associate Cloud Engineer within 3 months and Professional Machine Learning Engineer within 12 months of hire.
• Strong familiarity with key GCP services: BigQuery, Vertex AI, Dataflow, Cloud Run, Cloud Functions, and Cloud Storage.
• Understanding of MLOps best practices, model monitoring, and continuous training workflows.

Technical Foundation

• Proficiency in Python and SQL; familiarity with notebooks such as Vertex AI Workbench or Jupyter.
• Experience with data pipeline orchestration using Composer, Dataflow, or Airflow.
• Knowledge of API design, microservices, and containerization using Docker and Kubernetes (GKE).
• Understanding of responsible AI principles, data governance, and security best practices in cloud environments.

Core Competencies

• Excellent communication skills and ability to translate technical AI concepts into business value.
• Strong analytical and problem-solving mindset with attention to detail.
• Curiosity-driven and proactive in identifying opportunities for automation and optimization.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).

- GCP Expertise: Proven experience in designing, building, and deploying data solutions on GCP.
- Data Warehousing and Pipelines: Strong expertise in SQL, data warehouse design, and data pipeline development.
- Cloud Architecture: Understanding of cloud architecture principles and best practices.
- Communication Skills: Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

Experience & Track Record

• 4+ years in BI, data analytics, or data engineering, including 2+ years with Looker.
• Expertise creating and maintaining LookML models, Explores, and dashboards.
• Ability to translate business requirements into technical analytics solutions.
• Experience integrating Looker with BigQuery and Google Cloud data services.
• Strong analytical, visualization, and communication skills.

Google Cloud Platform Expertise

• Experience with BigQuery, Dataform, Cloud Storage, and Cloud SQL.
• Understanding of data modeling, ELT pipelines, and SQL optimization in GCP.
• Looker Business Analyst or Data Analyst certification preferred.
• If not certified, commitment to obtaining Looker Business Analyst certification within 6 months.

Technical Foundation

• Proficiency in SQL and LookML development.
• Familiarity with Dataform, dbt, or Cloud Data Fusion.
• Understanding of data governance, access management, and metadata design.
• Ability to integrate Looker with BigQuery ML and Vertex AI.
• Experience with Git, Agile workflows, and CI/CD for LookML.

Core Competencies

• Strong communication skills bridging technical and business needs.
• Excellent organizational skills and attention to detail.
• Passion for scalable data-driven analytics solutions.
• Bachelor’s degree in a relevant field or equivalent experience.

•Proven track record selling B2B software solutions
•Ability to source, engage, and create relationships with target accounts
•Excellent written & verbal communication skills
•Experience working with clients in complex implementation projects
•Proficient leading video conferences
•Ability to work with sales engineers and customer technical leads to inventory existing software estate, define migration plans, and build business cases for migrations
•Comfortable making cold calls
•Strong interpersonal and collaboration skills