9 jobs in CoffeeBeans

Location: Bangalore

WorkMode : Hybrid

Experience: 6–9 years

Job Type: Full-time

About the Role

We’re looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You’ll work with client stakeholders, lead data initiatives, and guide teams in building modern, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications.

Key Responsibilities

• Lead the design and implementation of scalable, secure, and high-performance data architectures.
• Architect and optimise data pipelines for batch and real-time processing across varied source systems.
• Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads.
• Collaborate with client teams and internal stakeholders to define data strategies, tooling, and standards.
• Set up and enforce best practices around code quality, pipeline observability, testing, and CI/CD.
• Guide technical decision-making and mentor junior/mid-level engineers.
• Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems.

Must-Have Skills

• Strong expertise in Python and advanced proficiency in SQL.
• Hands-on experience with Databricks.
• Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalised), warehousing, streaming systems, and data integration patterns.
• Proven experience with distributed data processing frameworks (e.g., Apache Spark, Flink).
• Proficient with orchestration tools like Airflow or similar, and production-grade data workflows.
• Solid grounding in cloud-native data services (compute, storage, IAM, monitoring).
• Experience leading technical implementations and collaborating with business stakeholders.

Good to Have

• Multi-cloud experience (AWS preferred; GCP or Azure familiarity is valued).
• Hands-on experience with Databricks, dbt, and collaborative data development environments.
• Awareness of data governance, security, lineage, and quality frameworks.
• Certifications such as AWS Certified Data Analytics, Databricks Certified Data Engineer Professional, or equivalent.

Other Expectations

• Strong leadership, ownership, and client communication skills.
• Ability to balance hands-on contributions with technical guidance.
• Adaptability to new tools, tech stacks, and problem domains.
• Willingness to travel within India for short/medium-term client assignments.

Kindly drop your resume ( OR )

About Us

CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency .

We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.

Key Responsibilities

Solution Architecture

• Engage with clients to understand business goals, technical constraints, and AI/data maturity.
• Translate requirements into scalable solution blueprints across tech stack and infrastructure.
• Expert in microservices and design patterns. data, analytics, AI, and cloud .
• Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
• Ensure designs meet security, compliance, and governance requirements.

Data Architecture & Engineering

• Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
• Design robust ETL/ELT pipelines , streaming architectures, and real-time analytics solutions.
• Define data models, metadata management, and master data strategies .
• Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).

AI & MLOps Enablement

• Integrate ML/Gen AI solutions into the data platform architecture.
• Work with Data Scientists to operationalize AI models using MLOps best practices.
• Evaluate LLM integration , vector databases, and AI agents within enterprise architectures.

Leadership & Delivery

• Provide technical leadership to engineering teams.
• Review designs, code, and deployment plans for quality and scalability.
• Work closely with client stakeholders, delivery managers, and CTO to ensure success.

Required Skills & Experience

• 12+ years in data engineering, data architecture, or solution architecture roles.
• Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
• Strong knowledge of data modeling , SQL/NoSQL databases , streaming tech (Kafka, Pub/Sub, Kinesis).
• Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
• Knowledge of data governance, security, and compliance frameworks.
• Familiarity with AI/ML architectures , MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
• Strong communication and client-facing skills.

Growth & Client Partner

Experience: 6–9 Years

Department: Strategy / Growth / Client Success

Location: Bangalore

Work Mode: Work from Office

Role Overview

We are looking for a highly execution-focused Growth & Client Partner who can drive our existing sales and marketing strategy while ensuring strong client relationship management and account growth.

This role is ideal for someone who can independently execute GTM initiatives, coordinate with internal teams, manage key client accounts, and ensure seamless delivery and customer satisfaction. The candidate will work closely with leadership but will primarily focus on execution, operational ownership, and account management rather than strategy creation.

Key Responsibilities

Sales & Marketing Execution

• Execute the organization’s sales and marketing plans across target accounts and industries.
• Coordinate with marketing, delivery, and leadership teams to drive lead generation and conversion activities.
• Manage outbound outreach, follow-ups, proposal coordination, and client presentations.
• Track sales pipeline progress, campaign effectiveness, and conversion metrics.
• Identify opportunities for upselling and cross-selling within existing accounts.
• Ensure timely execution of growth initiatives and business development activities.

Client & Account Management

• Manage and grow assigned client accounts with an ownership mindset.
• Build strong relationships with client stakeholders and business decision-makers.
• Conduct regular governance meetings, account reviews, and follow-ups.
• Ensure high client satisfaction and proactive issue resolution.
• Work closely with delivery teams to align client expectations with execution.
• Support contract renewals, commercial discussions, and account expansion opportunities.

Delivery Coordination & Operational Ownership

• Ensure smooth coordination between clients, delivery teams, and internal stakeholders.
• Track account health, delivery timelines, risks, and escalations.
• Maintain accurate reporting on account performance, revenue opportunities, and engagement status.
• Drive accountability and follow-through across multiple teams.
• Support process improvements that enhance client experience and operational efficiency.

Stakeholder Collaboration

• Collaborate with sales, delivery, finance, HR, and leadership teams for account success.
• Communicate priorities, updates, and risks clearly across stakeholders.
• Maintain strong visibility and responsiveness with internal and external stakeholders.

Leadership & Organizational Contribution

• Mentor junior team members where required.
• Contribute to improving account management and growth processes.
• Represent the organization professionally in client-facing interactions.
• Support leadership in business reviews and growth initiatives.

Desired Skills & Qualifications

• 6–9 years of experience in Account Management, Client Success, Growth, Business Development, or Consulting roles.
• Strong experience in managing B2B client relationships and account operations.
• Proven experience in executing sales or marketing initiatives.
• Excellent communication, presentation, and stakeholder management skills.
• Strong coordination and project ownership abilities.
• Comfortable working with cross-functional teams and fast-paced environments.
• Good understanding of delivery coordination and client lifecycle management.
• Proficiency in CRM tools, Google Workspace, and MS Office.

Preferred Background

• Experience in IT services, consulting, staffing, or technology organizations.
• Exposure to managing mid-size enterprise accounts.
• Ability to balance growth initiatives with client servicing responsibilities.

Location: Bangalore (with short/medium-term travel opportunities within India & foreign location)

Experience: 7–10 years

Job Type: Full-time

About the Role

We’re looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You’ll work with client stakeholders, lead data initiatives, and guide teams in building modern, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications.

Key Responsibilities

• Lead the design and implementation of scalable, secure, and high-performance data architectures.

• Architect and optimize data pipelines for batch and real-time processing across varied source systems.

• Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads.

• Collaborate with client teams and internal stakeholders to define data strategies, tooling, and standards.

• Set up and enforce best practices around code quality, pipeline observability, testing, and CI/CD.

• Guide technical decision-making and mentor junior/mid-level engineers.

• Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems.

Must-Have Skills

• Strong expertise in Python and advanced proficiency in SQL.

• Hands-on experience with snowflake

• Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalized), warehousing, streaming systems, and data integration patterns.

• Proven experience with distributed data processing frameworks (e.g., Apache Spark, Flink).

• Proficient with orchestration tools like Airflow or similar, and production-grade data workflows.

• Solid grounding in cloud-native data services (compute, storage, IAM, monitoring).

• Experience leading technical implementations and collaborating with business stakeholders.

Good to Have

• Multi-cloud experience (AWS preferred; GCP or Azure familiarity is valued).

• Hands-on experience with Databricks, dbt, and collaborative data development environments.

• Awareness of data governance, security, lineage, and quality frameworks.

• Certifications such as AWS Certified Data Analytics, Databricks Certified Data Engineer Professional, or equivalent.

Other Expectations

• Strong leadership, ownership, and client communication skills.

• Ability to balance hands-on contributions with technical guidance.

• Adaptability to new tools, tech stacks, and problem domains.

• Willingness to travel within India for short/medium-term client assignments.

Location: Bangalore

WorkMode : Hybrid

Experience: 6–9 years

Job Type: Full-time

About the Role

We’re looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You’ll work with client stakeholders, lead data initiatives, and guide teams in building modern, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications.

Key Responsibilities

• Lead the design and implementation of scalable, secure, and high-performance data architectures.
• Architect and optimise data pipelines for batch and real-time processing across varied source systems.
• Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads.
• Collaborate with client teams and internal stakeholders to define data strategies, tooling, and standards.
• Set up and enforce best practices around code quality, pipeline observability, testing, and CI/CD.
• Guide technical decision-making and mentor junior/mid-level engineers.
• Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems.

Must-Have Skills

• Strong expertise in Python and advanced proficiency in SQL.
• Hands-on experience with Databricks.
• Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalised), warehousing, streaming systems, and data integration patterns.
• Proven experience with distributed data processing frameworks (e.g., Apache Spark, Flink).
• Proficient with orchestration tools like Airflow or similar, and production-grade data workflows.
• Solid grounding in cloud-native data services (compute, storage, IAM, monitoring).
• Experience leading technical implementations and collaborating with business stakeholders.

Good to Have

• Multi-cloud experience (AWS preferred; GCP or Azure familiarity is valued).
• Hands-on experience with Databricks, dbt, and collaborative data development environments.
• Awareness of data governance, security, lineage, and quality frameworks.
• Certifications such as AWS Certified Data Analytics, Databricks Certified Data Engineer Professional, or equivalent.

Other Expectations

• Strong leadership, ownership, and client communication skills.
• Ability to balance hands-on contributions with technical guidance.
• Adaptability to new tools, tech stacks, and problem domains.
• Willingness to travel within India for short/medium-term client assignments.

Kindly drop your resume ( OR )

About Us

CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency .

We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.

Key Responsibilities

Solution Architecture

• Engage with clients to understand business goals, technical constraints, and AI/data maturity.
• Translate requirements into scalable solution blueprints across tech stack and infrastructure.
• Expert in microservices and design patterns. data, analytics, AI, and cloud .
• Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
• Ensure designs meet security, compliance, and governance requirements.

Data Architecture & Engineering

• Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
• Design robust ETL/ELT pipelines , streaming architectures, and real-time analytics solutions.
• Define data models, metadata management, and master data strategies .
• Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).

AI & MLOps Enablement

• Integrate ML/Gen AI solutions into the data platform architecture.
• Work with Data Scientists to operationalize AI models using MLOps best practices.
• Evaluate LLM integration , vector databases, and AI agents within enterprise architectures.

Leadership & Delivery

• Provide technical leadership to engineering teams.
• Review designs, code, and deployment plans for quality and scalability.
• Work closely with client stakeholders, delivery managers, and CTO to ensure success.

Required Skills & Experience

• 12+ years in data engineering, data architecture, or solution architecture roles.
• Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
• Strong knowledge of data modeling , SQL/NoSQL databases , streaming tech (Kafka, Pub/Sub, Kinesis).
• Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
• Knowledge of data governance, security, and compliance frameworks.
• Familiarity with AI/ML architectures , MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
• Strong communication and client-facing skills.

Growth & Client Partner

Experience: 6–9 Years

Department: Strategy / Growth / Client Success

Location: Bangalore

Work Mode: Work from Office

Role Overview

We are looking for a highly execution-focused Growth & Client Partner who can drive our existing sales and marketing strategy while ensuring strong client relationship management and account growth.

This role is ideal for someone who can independently execute GTM initiatives, coordinate with internal teams, manage key client accounts, and ensure seamless delivery and customer satisfaction. The candidate will work closely with leadership but will primarily focus on execution, operational ownership, and account management rather than strategy creation.

Key Responsibilities

Sales & Marketing Execution

• Execute the organization’s sales and marketing plans across target accounts and industries.
• Coordinate with marketing, delivery, and leadership teams to drive lead generation and conversion activities.
• Manage outbound outreach, follow-ups, proposal coordination, and client presentations.
• Track sales pipeline progress, campaign effectiveness, and conversion metrics.
• Identify opportunities for upselling and cross-selling within existing accounts.
• Ensure timely execution of growth initiatives and business development activities.

Client & Account Management

• Manage and grow assigned client accounts with an ownership mindset.
• Build strong relationships with client stakeholders and business decision-makers.
• Conduct regular governance meetings, account reviews, and follow-ups.
• Ensure high client satisfaction and proactive issue resolution.
• Work closely with delivery teams to align client expectations with execution.
• Support contract renewals, commercial discussions, and account expansion opportunities.

Delivery Coordination & Operational Ownership

• Ensure smooth coordination between clients, delivery teams, and internal stakeholders.
• Track account health, delivery timelines, risks, and escalations.
• Maintain accurate reporting on account performance, revenue opportunities, and engagement status.
• Drive accountability and follow-through across multiple teams.
• Support process improvements that enhance client experience and operational efficiency.

Stakeholder Collaboration

• Collaborate with sales, delivery, finance, HR, and leadership teams for account success.
• Communicate priorities, updates, and risks clearly across stakeholders.
• Maintain strong visibility and responsiveness with internal and external stakeholders.

Leadership & Organizational Contribution

• Mentor junior team members where required.
• Contribute to improving account management and growth processes.
• Represent the organization professionally in client-facing interactions.
• Support leadership in business reviews and growth initiatives.

Desired Skills & Qualifications

• 6–9 years of experience in Account Management, Client Success, Growth, Business Development, or Consulting roles.
• Strong experience in managing B2B client relationships and account operations.
• Proven experience in executing sales or marketing initiatives.
• Excellent communication, presentation, and stakeholder management skills.
• Strong coordination and project ownership abilities.
• Comfortable working with cross-functional teams and fast-paced environments.
• Good understanding of delivery coordination and client lifecycle management.
• Proficiency in CRM tools, Google Workspace, and MS Office.

Preferred Background

• Experience in IT services, consulting, staffing, or technology organizations.
• Exposure to managing mid-size enterprise accounts.
• Ability to balance growth initiatives with client servicing responsibilities.