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Enterprise Data Engineering​/Solution Architect Engineer PM

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: TeleWorld Solutions
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Tele World Solutions is seeking a high-level, technically savvy Enterprise Data Engineering/Solution Architect Engineer PM (formally classified as IT Project Manager V) to drive organizational efficiency through the Snowflake ecosystem
, advanced data analytics, and the Atlassian suite.

This is not a task-based Jira Admin role. We are looking for a senior-level "Thought Leader" and "Solution Architect" who can brainstorm with VPs and Directors to solve complex business problems. You will be responsible for designing end-to-end automated data pipelines, building sophisticated portfolio-level
dashboards
, and leveraging AI/LLM tools to eliminate manual processes
. You must be comfortable working as a one-person data engineering and automation powerhouse
, translating raw execution data into strategic insights.

Who We Are:

The Architects of What Connects Us

You find the signal in the noise of data.
We build the signal itself.

We are Tele World Solutions
, and we are the strategic backbone for the world's most ambitious wireless networks. We're not just consultants; we're the engineers, designers, and problem-solvers that operators, OEMs, and tower giants trust to bring their boldest visions to life.

Our playground is the invisible architecture of connection—from vast macro networks to the hyper-precise world of DAS, Small Cells, and Wi-Fi. With a legacy of hundreds of thousands of successful implementations
, we help our clients navigate the entire lifecycle of their network: from the first line of a design to the final optimization, and every critical decision about performance and value in between.

Why does this matter to you?

The complex data you will master—the CDRs, network KPIs, and customer signals—flows from the very infrastructure we design and optimize. You won't just be analyzing abstract numbers; you'll be interpreting the digital heartbeat of networks that we helped bring to life. Your insights will directly influence the next generation of those networks.

Here, your work as a data storyteller is powered by deep, tangible engineering excellence. You provide the "what" and "why." We provide the "how" on a global scale.

Welcome to the engine room of connection. Let's build what's next Responsibilities
  • Strategic Solutioning & Business Partnership: Act as a consultant to stakeholders (Directors to VPs). Brainstorm business problems, recommend optimal technical solutions/workflows, and implement them within the Jira ecosystem.
  • End-to-End Data Engineering: Own the data lifecycle. Design, build, and maintain automated data pipelines that ingest and transform raw Jira data into Snowflake data lakes and warehouses.
  • Advanced Dashboarding & Reporting: Create high-impact, real-time dashboards for leadership at the team, program, and portfolio levels. Use eazy

    BI, Snowflake, and AI Cloud
    to provide insights into delivery health, capacity, and roadmap forecasting.
  • Process Automation: Identify manual activities currently managed in Excel or Google Sheets and replace them with automated Python/Java-based solutions and AI integrations.
  • Advanced Scripting: Develop complex automation logic, custom transitions, and listeners using Groovy (Script Runner) and Java
    .
  • AI Integration: Leverage AI tools (VS Code, Amazon Bedrock, LLM models) to enhance data analysis and automate repetitive engineering tasks.
  • Thought Leadership: Serve as a senior expert in Agile methodologies (Scrum/Kanban), ensuring Atlassian tools are configured to enforce best practices rather than just closing tickets.
  • Training &

    Coaching:

    Upskill and coach leadership and technical teams on how to effectively utilize Jira and data-driven dashboards.
Qualifications Priority 1 (Critical)
  • Snowflake & Data Engineering: Proven hands-on experience with Snowflake ecosystem and data lake/warehouse architectures. Must be able to build and manage data pipelines end-to-end, not just consume pre-built tables.
  • Advanced Python & Scripting: Strong proficiency in Python for automation, data manipulation, and integration with AI tools (e.g., VS Code, AWS Bedrock).
  • Senior-Level Expertise: 10+ years of overall experience with a Bachelor's degree (non-negotiable). Must be a seasoned…
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