Architect- Data Platform

Software Engineering Home Office, Remote Pittsburgh, Pennsylvania





Architect- Data Platform



We are a software development company HQ in beautiful downtown Pittsburgh, PA.  Our mission is simple—to ensure that no one waits for the care they need by. Here at TeleTracking we all believe it’s unacceptable that patients are not able to access the care they need, when they need it, due to operating inefficiencies and unnecessary cost barriers, and we also believe as care delivery becomes more complex, coordinating patient care with a combination of people, process and technology across the care continuum is absolutely essential and we are looking for the best and the brightest talent to ensure the mission gets accomplished.


TeleTracking has been recognized by the Pittsburgh Technology Council―which named TeleTracking as the Tech 50 Culture Leader of the Year.  TeleTracking has also been recognized as one of Becker's Hospital Review’s "Great Places to Work," a Pittsburgh Business Times “Corporate Citizenship Award” winner and a Pittsburgh Business Times “2019 Workplace Wellness Champion.”


The Big Data Architect leads the architecture and design of TeleTracking’s Data Platform in alignment with TeleTracking’s vision of providing a unified data solution: aggregating customer and healthcare operational data, and providing easy access to powerful insights. As such, this position will be responsible for the technical and security architecture of the software applications, as well as the supporting infrastructure. This position will help drive quality, reliable, secure applications, using industry standard best practices.


  • Lead a development team of big data designers, developers, data scientists, and DevOps
  • Implement a big data enterprise warehouse, BI and analytics system using Hive, Spark, RedShift, EMR (Hadoop), and S3
  • Develop and maintain processes to acquire, analyze, store, cleanse, and transform large datasets using tools like Spark, Kafka, Sqoop, Hive, NiFi, and MiNiFi
  • Provide recommendations, technical direction and leadership for the selection and incorporation of new technologies into the Hadoop ecosystem
  • Participate in regular status meetings to track progress, resolve issues, mitigate risks and escalate concerns in a timely manner
  • Contribute to the development, review, and maintenance of product requirements documents, technical design documents, and functional specifications
  • Help design innovative, customer-centric solutions based on deep knowledge of large-scale, data-driven technology and the healthcare industry
  • Help develop and maintain enterprise data standards, best practices, security policies and governance processes for the Hadoop ecosystem



Bachelors- computer information technology, computer science, management
Masters Degree Preferred- computer information technology, computer science, management


  • Strong communication skills, ability to learn, demonstrate intellectual curiosity, ability to work in a team environment.  Self-motivated, passionate and strong leadership skills
  • Minimum 5+ years of experience in large systems analysis and development, addressing unique issues of architecture and data management. Has the experience to work at the highest technical level of all phases of systems analysis and development activity, across the full scope of system development cycle
  • 4+ years related experience on data warehousing and business intelligence projects
  • 3+ years implementation or development experience with the Hadoop ecosystem
  • Working knowledge of the entire big data development stack
  • Experience handling very large data sets (10’s of terabytes and up preferred)
  • Experience with secure RESTful Web Services
  • Highly proficient with Java/Scala application development
  • Expert in Apache Spark infrastructure and development
  • Experience with Sqoop, Spark, Hive, Kafka, and Hadoop
  • Experience with automated testing for Big Data platforms
  • Experience with best practices for data integration, transformation, governance and data quality
  • Experience with developing, designing and coding, completing programming and documentation, and performing testing for complex ETL applications (Spark & Scala preferred)
  • Experience with Agile software development process and development best practices
  • Experience with Big Data text mining and big Data Analytics preferred
  • Understanding of Big Data Architecture along with tools being used on Hadoop ecosystem
  • Ability to lead tool suite selection and lead proofs of concepts
  • Ability to share ideas among a collaborative team and drive the team based on technical expertise and sharing best practices from past experience 




The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position. While performing the duties of this job, the employee is regularly required to communicate professionally in person, over the telephone, through email and other electronic means, move about the office, handle various types of media and equipment, and visually or otherwise identify observe and assess.  The employee is occasionally required to lift up to 10 pounds unless otherwise specified in the job description.


TeleTracking is committed to a policy of non-discrimination in all employment practices, including recruitment, hiring, training, education, tuition assistance, social and recreational programs, compensation, discipline, promotion, benefits, termination of employment and all other terms and conditions of employment. TeleTracking strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including gender nonconformity and status as a transgender or transsexual individual), age (40 and over), physical or mental disability, non-job related handicap or disability, citizenship, past, current or prospective service in the uniformed services, genetic information, use of a guide or support animal because of blindness, deafness or physical handicap, or any other characteristic protected under applicable federal, state or local law.