I applied for a Rails Engineer job. Day 1, my team lead insisted on Grails. After 6 months, team leads stopped Product Development, and the next few months consisted of me being inside datacenters installing Hadoop clusters on baremetal. Funny thing is; I did that to myself, since I never complained and just took it in.<p>Almost 2 years in, never touched rails code, lots of ansible playbooks, dockerfiles, random ruby scripts, several company trips to Japan/US; it seems that I became the de-facto Big Data engineer on the company. Many would think it was something I liked. But I didn't. Executives, managers and engineers in the company relied on me to solve what was "sold" to current enterprise customers about "Big Data" and "Machine Learning". The pressure sets in. I couldn't in my nature pose myself as an "expert data scientist" and "big data guy" when I have 0 experience with ML, Python, Spark and Statistics.<p>I resigned. I thought the reason why I felt stressed because I was alone in this Big Data thing. Boy, I was so wrong. They counter-offered and gave me a high position + a 5-person team, 3 statisticians and 2 system administrators. I never should have took that counter-offer. This time, the pressure is higher since I'm officially responsible for the entire Product line. I needed to catch up to a hyped-up ecosystem of frustrated customers whose only chant was 'your company told me my Hadoop platform could do "Big Data + Machine Learning + AI" where is it?'.<p>After 4 months of trying; getting me and everyone on the team into Datacamp + Python training seminars, while writing an MVP for a ML-product I thought of, while building product roadmaps, being on meetings, handling internal politics and current customer support. I resigned.<p>I guess the real reason was; I didn't want this in the first place. Even if I tried to embrace the work, the climb was too steep with amount of runway I had. Customers are expecting ML-based products, now. I couldn't live up to the standards of a Big Data Lead when I have 0 experience on anything Big Data, no mentors teaching me about the proper way to write ML products, let alone run a team.