Technical Project Manager
First seen by Alion on Oct 7, 2026.
About Artha Data Solutions:
Artha Solutions is an established Data Management, IT Consulting, Product Development, and IT Services organization offering a wide range of solutions across verticals such as Banking, Finance, Insurance, Healthcare, Manufacturing, Retail, Utilities, Media, and Entertainment. Working closely with leading technology vendors like Qlik, Talend, AWS, MS Azure, Snowflake, Cloudera and many others. Artha Solutions has delivered numerous Data Management Projects involving Business Strategy, Business-driven Information Technology that includes - Data Integration, Big Data Integration, Enterprise Data Warehouse, Data Lake, Cloud Integration, Data Quality, Data Governance & Management, Master Data Management and Analytics for many customers globally.
With offices at Arizona, Chicago, Hyderabad, Singapore and Jakarta, Artha has served over 300+ customers across the globe. Artha is expanding operations rapidly in India & APAC region.
Website: https://thinkartha.com
Role Summary:
We are seeking a highly skilled Technical Project Manager with strong expertise in data engineering, cloud technologies, and delivery management, who can also support technical pre-sales engagements.
This role requires a hands-on understanding of data platforms, combined with the ability to manage end-to-end project delivery, client communication, and solution positioning.
Key Responsibilities:
1. Project & Delivery Management:
- Lead end-to-end project delivery across data engineering and analytics initiatives.
- Create detailed project plans, define milestones, and track execution.
- Conduct daily stand-ups, sprint planning, retrospectives, and status reporting.
- Ensure on-time, high-quality delivery aligned with client expectations.
- Manage risks, dependencies, and escalation handling.
2. Technical Leadership (Data Engineering Focus):
- Demonstrate strong understanding of data pipelines, ETL/ELT processes, data warehousing, data lakes, and BI ecosystems.
- Guide teams on data modelling concepts, performance optimization and scalability.
- Act as a bridge between engineering teams and business stakeholders.
3. Pre-Sales & Solutioning Support:
- Collaborate with sales teams during RFP/RFI and proposal stages.
- Participate in client discussions, requirement discovery, and solution presentations.
- Prepare high-level solution architectures, effort estimations and delivery roadmaps.
- Support POCs, demos, and technical presentations.
4. Stakeholder & Communication Management:
- Interface with clients, internal teams, and leadership.
- Ensure clear communication of project status, risks and mitigation plans.
- Drive client confidence through strong communication and delivery ownership.
5. Team Leadership:
- Lead and mentor Data Architects, Tech/Project Leads, Data engineers, Data Analysts and Quality Engineers.
- Ensure adherence to Agile/Waterfall SDLC practices.
- Drive accountability, performance, and continuous improvement.
Required Technical Skills:
- Data & Databases: Strong working knowledge of any of the databases viz: MSSQL, MySQL, Azure SQL, Oracle (PL/SQL), PostgreSQL.
- ETL & Data Integration: Hands-on or strong conceptual expertise in Informatica or Talend or Databricks, Data Factory or Snowflake.
- Cloud & Modern Data Stack: Experience with AWS / Azure / GCP. Exposure to Snowflake or Databricks and Understanding of Data Lake / Lakehouse architectures.
- Data Engineering & BI: Experience and exposure to Data modelling (dimensional modelling preferred), Data warehouse concepts and BI/reporting ecosystem exposure.
Certifications:
- Preferred: At least one Cloud Certification (AWS / Azure / GCP - Developer or above).
- Preferred: Databricks certification (or strong working knowledge) or Snowflake Certification.
Experience Requirements:
- 8 - 12 years of total experience.
- Minimum 2 - 3 years in Project Management.
- Proven experience in data engineering or analytics projects.
- Experience in client-facing roles and pre-sales support.
Soft Skills:
- Excellent communication and presentation skills.
- Strong stakeholder management and negotiation ability.
- Problem-solving mindset with attention to detail.
- Ability to handle multiple projects in a fast-paced environment.
Nice to Have:
- Experience in client consulting / solution architecture.
- Exposure to large-scale data transformation programs.
- Familiarity with Agile tools (JIRA, Azure DevOps, etc.).
- Exposure to Artificial Intelligence (AI), Generative AI and Large Language Models (LLMs).
- Understanding of AI/ML project lifecycle and enterprise AI solution delivery.
- Familiarity with GenAI concepts and use cases such as RAG, AI-powered analytics and intelligent data processing.
- Exposure to AI/ML services on AWS / Azure / GCP.
- Awareness of AI governance, data privacy, security and responsible AI practices.
Skills
IT Project Management, Delivery Management, Presales, IT Consulting