Technical Lead - Data Analytics & Cloud

5 months ago

Mumbai, IndiaStaff+

Responsibilities

Design and present scalable, secure, maintainable, and cost-efficient cloud solutions for enterprise clients.
Own requirements analysis, feasibility studies, gap analysis, and technical solution definition during discovery.
Deliver and anchor the technical implementation of data engineering and cloud solutions while guiding development teams.
Lead team management, mentoring, architectural decisions, effort estimation, and cost and risk analysis support.
Build or oversee distributed data processing, real-time and batch pipelines, data modeling, optimization, migrations, and data lake or warehouse solutions.
Communicate project status and technical concepts to developers, engineers, business stakeholders, enterprise architects, and CxO-level clients.
Ensure delivery quality through security, compliance, best practices, testing, and robust architecture.

6–8 years of professional experience in cloud data engineering, architecture, analytics, or related delivery work.
Expertise with Snowflake and cloud data warehouses including Azure SQL DW and Google BigQuery.
Strong implementation experience with data lake and data warehouse architecture across Google Cloud Platform and Azure.
Experience with Python, Airflow, Azure data pipelines, or other integration and ingestion tools.
Experience with structured, semi-structured, and unstructured data and stream-, API-, file-, trigger-, or microservice-based ingestion.
Hands-on architecture experience with data engineering stacks, Git, Docker, security implementation, and DataOps principles.
Experience with cloud data warehouses, data lakes, migrations, digital transformation, and two to three large cloud-service projects.
Ability to lead architectural decisions, establish best practices, mentor technical teams, and communicate complex ideas to technical and non-technical audiences.
Consulting experience, primarily with UK and US clients.
Preferred qualifications include Google Cloud Professional Cloud Architect or Data Engineer certification, hybrid or on-premises cloud experience, knowledge of GDPR or HIPAA, enterprise consulting or professional services experience, and experience scaling global cloud teams or working with globally distributed systems.

Office-based role in Navi Mumbai, India, with short-term travel to London, UK.
Stock options are provided.
Autonomy, growth opportunities, collaboration with other teams, and work on data and AI projects.

501-1,000 employees