KEY RESPONSIBILITIES

Enterprise Data Strategy & Client Engagement:
Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business

objectives.

Serve as a key technical advisor for clients, translating business requirements into innovative data solutions.
Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project

lifecycles.

Data Modeling, Design & Engineering:
Design and optimize both logical and physical data models to support enterprise-wide systems.
Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business

intelligence and analytics.

Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance.

Technology Evaluation & Implementation:
Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for

future scalability.

Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk

management.

Team Leadership & Hands-On Management:
Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects.
Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues.
Ensure project milestones are met through effective resource management and team coordination.

Performance, Security & Best Practices:
Optimize data storage, retrieval, and processing performance across various systems.
Collaborate with security teams to enforce data governance, compliance, and privacy standards.
Establish and promote best practices in data management, data engineering, and architecture design.

Documentation & Reporting:
Develop and maintain comprehensive documentation covering data architecture designs, data flows, integration processes, and

project status.

Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance.

REQUIRED QUALIFICATIONS

Education:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.

Experience:
10+ years of experience in data architecture, data engineering, or related roles.
Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach.
Demonstrated track record of managing client relationships and leading technical teams.

Technical Skills:
Expertise in data modeling, data warehousing, and database design (both relational and NoSQL).
Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data

technologies.

Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks.
Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and

troubleshooting.

Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc

Exceptional client management and communication skills, with the ability to interact confidently with both technical and

non-technical stakeholders.

Proven team management and leadership abilities, including mentoring, coaching, and project management.
Strong analytical and problem-solving skills with a proactive, detail-oriented approach.
Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completio

Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar

credentials.

Role

Data Architect

Tags for this job

Python Azure SQL NoSQL

Similar Jobs

Staff Engineer, Integrations

Showpad

Pune•Posted: Jun 12•Deadline: Aug 16

Staff Integration Engineer (Backend & Architecture) About the Role This is a senior/lead role and a critical opportunity to anchor our newly formed internal Integrations team. You will design, architect, and govern the resilient backend services that connect the Showpad platform with leading SaaS ecosystems. You will be the primary technical gatekeeper, ensuring all backend architectures meet our stringent enterprise standards for security, scalability, and observability. Key Responsibilities * Architectural Leadership: Author and submit Architecture Decision Records (ADRs) for all new integrations, ensuring alignment with event-driven, asynchronous models. * Backend Engineering: Develop isolated, decoupled microservices strictly utilizing TypeScript and Go. * Cloud Infrastructure: Provision resources exclusively using AWS CDK (Infrastructure as Code) across multi-region environments. Implement and manage DynamoDB and Amazon Aurora RDS databases. * Resiliency & Eventing: Build highly idempotent outbound APIs with exponential backoff algorithms. Architect strictly asynchronous webhook ingestion pipelines using AWS EventBridge and SQS. * Enterprise Observability: Instrument rich telemetry using OpenTelemetry standards. Design and deploy Datadog Out-of-the-Box (OOTB) dashboards to monitor crucial Service Level Indicators (SLIs) like availability, latency, and throughput. * Security & Compliance: Ensure all services strictly enforce tenant isolation, align with GDPR data minimization strategies, and adhere to SOC 2 Type II cryptographic standards. * Operational Readiness: Guide the team through strict Operational Readiness Reviews (ORR) and ensure all CI/CD quality gates are successfully navigated prior to production releases. About You * You have a Bachelor’s Degree in Information Technology, Computer Science, or Software Engineering, plus 6+ years of software engineering experience. * You possess deep expertise in TypeScript and Go. * You have extensive experience with AWS, specifically serverless architectures, CDK, EventBridge, SQS, and Secrets Manager. * You are an expert in designing decoupled, event-driven architectures and understand the critical trade-offs of distributed systems. * You are highly proficient in application observability (Datadog, OpenTelemetry, structured logging, distributed tracing). * You have working knowledge of utilizing AI-first coding assistants.

Principal Engineer

Showpad

Pune•Posted: Jun 25•Deadline: Aug 16

Role Summary We are seeking a Principal Engineer (.NET) to lead the architecture, design, and delivery of scalable, high-performance SaaS platforms. This role merges technical expertise with strategic leadership, ensuring robust system design and engineering excellence while facilitating communication between our Pune and Boston (US) teams. As a senior technical leader, you will oversee complex team initiatives, set architectural direction, and guide the development of solutions using the Microsoft technology stack. Product & Technical Context • Large-scale SaaS / enterprise platforms • Backend: .NET / .NET Core (C#), ASP.NET Core, Entity Framework • Frontend: TypeScript (key skill), Angular / React • Architecture: Microservices, distributed systems, event-driven architecture • Cloud: AWS (preferred) — serverless-native, cloud-native services Infrastructure & Tools: • AWS serverless services (Lambda, API Gateway, Step Functions, EventBridge) • AWS container services (ECS / EKS / Fargate) • AWS RDS / Aurora, DynamoDB, NoSQL databases • Messaging systems (SQS / SNS / Kafka / RabbitMQ) • CI/CD (AWS CodePipeline / GitHub Actions) Key Responsibilities Architecture & System Design • Lead system-level architecture and design for complex distributed systems. • Develop AI-powered features that utilize large language models to enhance user workflows. • Translate business requirements into scalable, secure, and maintainable solutions. • Define and implement: • Microservices architecture • API-first design • Event-driven systems • Produce and maintain: • High-Level Designs (HLDs), Low-Level Designs (LLDs) • Architecture diagrams • Technical documentation • Ensure systems meet non-functional requirements: • Scalability, performance, availability, security Technical Leadership & Execution • Drive architecture discussions and technical decisions across teams. • Act as the go-to expert for the .NET ecosystem and system design. • Stay hands-on with coding and solutioning as needed. • Own the delivery of large-scale, cross-team initiatives. Engineering Excellence & Best Practices • Define and enforce: • Coding standards • Design patterns • Testing strategies • CI/CD best practices • Ensure high-quality, maintainable, and performant codebases. • Promote the adoption of modern engineering practices and tools. Cloud & Infrastructure • Architect and optimize solutions on AWS, leveraging serverless and cloud-native patterns. • Work with: • AWS Lambda, API Gateway, Step Functions, EventBridge (serverless-first) • AWS EKS / Kubernetes for container workloads • AWS services (S3, CloudFront, VPC, RDS/Aurora, DynamoDB) • Ensure: • Cost optimization • Performance tuning • High availability and fault tolerance Problem Solving & Decision Making • Address complex technical challenges at scale. • Conduct buy vs build analysis. • Make decisions considering: • Performance • Cost • Maintainability • Long-term scalability Leadership & Mentorship • Mentor engineers across teams and levels. • Drive technical excellence and knowledge sharing. • Support team growth, hiring, and succession planning. • Serve as a technical role model within the organization. Collaboration & Stakeholder Management • Collaborate closely with: • Product managers • Engineering leaders • Business stakeholders • Align technical solutions with business goals. • Effectively communicate complex technical concepts to stakeholders. Required Skills & Experience • 10+ years of experience in software engineering. • Strong expertise in: • C# / .NET / .NET Core / ASP.NET Core • TypeScript (key skill) • Proven experience in: • Designing scalable distributed systems. • Microservices architecture. • API design and integrations. • Hands-on experience with: • AWS (must-have) — serverless services (Lambda, API Gateway, Step Functions, EventBridge). • Kubernetes / Docker. • CI/CD pipelines. • Strong understanding of: • Design patterns & architecture principles. • Performance optimization. • High availability & fault tolerance. • Experience with: • SQL (AWS RDS / Aurora / SQL Server). • NoSQL databases (DynamoDB, Cosmos DB). • Messaging systems (SQS / SNS / Kafka). What Success Looks Like • Scalable and well-architected systems that support business growth. • Strong engineering practices adopted across teams. • High system reliability, performance, and maintainability. • Teams empowered through strong technical leadership and mentorship. Why This Role Matters This is a high-impact leadership role where you will define architecture at scale, influence multiple teams, and shape the technical direction of critical platforms. You will play a vital role in ensuring long-term system sustainability, innovation, and engineering excellence.

Data Engineer (GCP, Azure)

Artefact

Pune•Posted: Apr 21•Deadline: Aug 16

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: * Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. * Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. * Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. * Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. * Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? * Proficiency in Python, SQL, and database management. * Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka. * Proven problem-solving skills and a solution-oriented mindset. * Excellent communication skills to collaborate effectively within teams and with stakeholders. * Strong business acumen with an interest in business-facing roles. * Adaptability and a start-up mentality to thrive in a dynamic environment. * Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. * Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

PythonAWSAzure