Description :
Key Responsibilities :
- Lead technical solutioning for pre-sales engagements, including RFP responses, POCs, roadmaps, and estimations.
- Design and architect data engineering solutions leveraging cloud platforms (AWS / Azure) and modern data technologies.
- Define solution architecture, including data ingestion, transformation, storage, and analytics pipelines.
- Collaborate with business and technical stakeholders to translate business requirements into scalable, secure, and cost-effective solutions.
- Provide effort estimations, project sizing, resource planning, and implementation roadmaps.
- Hands-on experience in building POCs and validating architectural approaches.
- Ensure solutions adhere to security, governance, and compliance standards.
- Guide development teams during solution implementation and provide technical leadership.
- Stay up-to-date with emerging cloud, data engineering, and analytics technologies.
Required Skills & Qualifications :
Cloud Platforms :
Deep expertise in AWS (S3, Lambda, EC2) and / or Azure (Data Lake, Synapse) services.Data Platforms & Engineering :
Hands-on experience with Snowflake, Databricks, or Microsoft Fabric.Strong skills in ETL / ELT pipelines, data modeling, data warehousing, and real-time data processing.Programming & Development :
Proficient in Python, SQL; knowledge of Scala or Java is a plus.Familiarity with DevOps & CI / CD tools : Terraform, Git, Docker, and CI / CD pipelines.Solutioning & Pre-Sales Expertise :
Ability to create POCs, solution architecture, implementation plans, and estimations.Experience in translating business requirements into technical solutions.Strong understanding of security, access control, and compliance frameworks.Additional Skills :
Strong leadership and communication skills.Experience in effort estimation, resource planning, and project sizing.Proven track record of delivering high-quality, enterprise-grade solutions.Preferred Qualifications :
Experience in large-scale enterprise cloud migrations or Data Lake implementations.Exposure to real-time data streaming, event-driven architectures, or AI / ML pipelines.Certification in AWS Solutions Architect or Azure Data / Cloud certifications(ref : hirist.tech)