Field Executive

Position Overview: We are looking for an experienced and highly skilled Data Architect to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a customer-centric Data Architect, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

• Customer Collaboration:

– Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

– Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.

•Data Modeling & Integration:

– Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.

– Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.

– Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems

• Data Processing & Optimization:

– Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.

– Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.

• Data Governance & Security:

–Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).

–Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.

• Cross-Functional Collaboration:

– Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

– Foster collaboration across teams to streamline data workflows and optimize solution delivery.

• Leveraging Advanced Technologies:

– Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide

smart, data-driven solutions to business challenges.

– Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.

• Cost Optimization:

–Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.

–Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.

Qualifications:

• Experience:

– Proven experience (5+ years) as a Data Architect or similar role, designing and implementing data solutions at scale.

– Strong expertise in data modelling, data integration (ETL), and data transformation processes.

– Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

• Technical Skills:

– Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache

NiFi, Talend).

– Strong understanding of data security protocols, privacy regulations, and compliance requirements.

– Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).

• AI & Machine Learning Exposure:

– Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.

–Ability to apply advanced algorithms and automation techniques to improve business processes.

• Soft Skills:

– Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.

– Strong problem-solving ability with a customer-centric approach to solution design.

– Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.

• Education:

– Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 80+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

What does the core role include?

• Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
• Designing stateless components in React Native
• Contributing in all phases of the development lifecycle
• Working with the developers to create and maintain a robust framework to support the apps
• Working with the developers to build the interface with a focus on usability features
• 
  

What else can you expect in the role?

• Prepare and produce releases of software components
• Optimizing performance for the apps
• Problem-solving skills, analytical mind, and positive attitude
• Ability to think from end users perspective and focused on improving the overall product experience.
• Deliver across the entire app life cycle concept, design, build, deploy, test, release to app stores and support
• 
  

What can fetch you brownie points?

• Hands on experience with React Native is required
• Hands-on experience in React Native APIs, ReactJS, Javascript, ECMAScript (OOJS) and JSX.
• Strong understanding of JavaScript ecosystem
• Hands on experience on Android in creating Hybrid / Native applications
• Demonstrable UI/UX experience on a large-scale app.
• Thorough understanding of React Native development tools like IDEs (Nuclide, Atom, Sublime Text, or Visual
• Good knowledge of JS frameworks like ReactJS is a plus.

Desired Skills and Experience

Hybrid Apps,React Native, Native iOS and Android Architecture understanding

We are looking for a highly skilled and experienced Google Ads Expert to join our marketing team. As a Google Ads Expert, you will be responsible for developing and implementing effective Google Ads campaigns to drive targeted traffic, generate leads, and increase conversions. Your in-depth knowledge of Google Ads and experience in opƟmizing campaigns will contribute to the success of our digital marketing efforts. 

Purpose of Job:
We are looking for an exceptionally talented senior data engineer who has exposure in implementing AWS services to build data pipelines, api
integration and designing data warehouse.

Job Responsibilities:
• Total 4+ years of experience as a Data Engineer
• Have minimum 3 years of AWS Cloud experience.
• Well versed in languages such as Python, PySpark, SQL, NodeJS etc
• Has extensive experience in Spark ecosystem and has
worked on both real time and batch processing
• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.
• Experience with modern Database systems such as
Redshift, Presto, Hive etc.
• Worked on building data lakes in the past on S3 or
Apache Hudi • Solid understanding of Data Warehousing Concepts
• Good to have experience on tools such as Kafka or Kinesis
• Good to have AWS Developer Associate or Solutions Architect Associate Certification

Qualifications:
At least a bachelor’s degree in Science, Engineering, Applied
Mathematics. Other Requirements: Learning Attitude, Ownership skills

Requirement

1. 2+ Years of development experience in the full stack development (preferred MERN technology stack).
2. should be proficient in working with technologies like JavaScript, CSS, and JS with framework like NodeJs and ReactJS.
3. Strong skills and experience with programming, design, and architecture, and familiarity/experience with AWS and other cloud technologies.
4. Good Knowledge of APIs is a must.
5. Should have good knowledge of databases like Linux.
6. Experience working in an Agile/Scrum environment
7. Keen interest in emerging technologies with an aptitude to learn and adapt.
8. A basic understanding in  Java is a plus.

Responsibilities:

1. Should be able to work independently once proper guidance is provided.
2. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
3. Ensure timely completion of development activity.
4. Prepare training documents and provide training to internal teams on tools.
5. Consult, design, and develop well-structured, scalable in-house tools.
6. Should be able to write optimized business logic for business functions.

• Directly responsible for achieving the revenue targets for the category
• Developing a deep understanding of the category on dimensions of: