Field sales manager

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Strong Senior Backend Engineer profile

Mandatory (Experience 1) - Must have more than 6+ YOE in Software Development

Mandatory (Experience 2) - Should have strong backend development experience in any backend language - Java, Javascript (NodeJS), Go, PHP (PHP experience is preferred)

Mandatory (Core Skill 1) - Must have Experience in any databases - MySQL / PostgreSQL / Postgres / Oracle / SQL Server / DB2 / SQL

Mandatory (Core skill 2) - Experience with async workflows and messaging queues such as( RabbitMq, Kafka, Message Broker / Queue, Google Pub / Sub, Kinesis etc)

Mandatory (Core Skills 3) - Experience in Cloud - AWS / Google Cloud / Azure

Mandatory (Company) - Product Companies only

Mandatory ( Education) - BE / BTECH / MCA

Roles and Responsibilities:

● Create thumb-stopping Reels, Instagram Stories, and short-form videos for various social media platforms.

● Plan, shoot, and edit high-quality promotional and brand videos that bring our brand to life with flair and creativity.

● Develop and maintain a content calendar aligned with campaigns, launches, and trending moments.

● Collaborate with the marketing and design teams to roll out content that aligns with brand strategy and visual identity.

● Stay ahead of the curve on social media trends, evolving formats, and viral-worthy content ideas.

● Craft captivating copy for social media captions, video hooks, and campaign taglines that spark engagement.

● Play an active role in influencer marketing – whether that’s partnering with creators or being the influencer yourself!

● Represent the brand as a social media influencer with on-screen presence, charm, and authenticity.

● Pitch bold, quirky, scroll-breaking content concepts every week – and make them happen!

WHAT WILL YOU NEED TO SUCCEED?

● A creative mind that sees magic in the mundane.

● A portfolio of past work (even personal IG/ Linkedin content counts!)

● Passion for storytelling, aesthetics, and digital media.

● Comfort in front of or behind the camera (we love dual threats!)

● Familiarity with tools like Canva, CapCut, InShot, Adobe Rush, or anything else that gets your creativity flowing.

● Strong understanding of LinkedIn, Instagram, YouTube Shorts, and content performance i

Education and/or Experience:

Graduation/Post Graduation with minimum 1 to 3 years’ experience in the complete recruitment life

cycle for sourcing the best talent from diverse sources after identification of manpower requirement.

Language Skills: Proficiency in English (Written and Verbal)

Good understanding of MS Office.

JOB DESCRIPTION

Objectives:

1. Experience in Social Media Hiring and Boolean/String Searches & Talent Mapping

2. Updating candidate records and job postings in Applicant Tracking Systems.&

coordinating interview drives on a specified date

3. Regular meeting with the Hiring Managers to discuss the details about the

requirements and about their hiring plan.

4. Working on the sourcing plans for recruitment, referral schemes, vendor management etc

5. Involve in market analysis to provide inputs to delivery and to the

current market scenario and suggest alternate ways to successfully fulfill the positions

when faced with challenges.

6. Managing Pipelines.

7. Candidate Management.

8. Facilitating the initial round of screening, appraising the candidate on company

expectation and negotiating salary and perks.

9. Pre-employment check and Employment E-flow Process handing

Qualifications

• Proven experience in sales, preferably in the fintech or technology industry
• Strong knowledge of financial products, services, and industry trends
• Excellent communication and interpersonal skills
• Ability to build and maintain relationships with clients
• Demonstrated track record of meeting or exceeding sales targets
• Self-motivated and driven to achieve results
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team
• Bachelor's degree in business, finance, or a related field
• Proficiency in using CRM software and sales tools

RedHat OpenShift (L2/L3 Expetise)

1. Setup OpenShift Ingress Controller (And Deploy Multiple Ingress) 

2. Setup OpenShift Image Registry

3. Very good knowledge of OpenShift Management Console to help the application teams to manage their pods and troubleshooting.

4. Expertise in deployment of artifacts to OpenShift cluster and configure customized scaling capabilities

5. Knowledge of Logging of PODS in OpenShift Cluster for troubleshooting.

2. Architect:

- Suggestions on architecture setup

- Validate architecture and let us know pros and cons and feasibility.

- Managing of Multi Location Sharded Architecture

- Multi Region Sharding setup

3. Application DBA:

- Validate and help with Sharding decisions at collection level

- Providing deep analysis on performance by looking at execution plans

- Index Suggestions

- Archival Suggestions and Options

4. Collaboration

Ability to plan and delegate work by providing specific instructions.